This is an exciting new position within IT for the City of Fort Collins.
The selected professional will have the opportunity to come in on the ground floor of creating a new Data Warehouse for the Utilities Service Area. With minimal direction the Data Warehouse Architect will strategically design and implement data warehouses, data marts, and data stores, while ensuring high levels of data availability and accuracy for analysts and staff across the organization. This individual is responsible for defining data standards and models for warehouse architectures as well as data quality standards.
The Data Warehouse Architect will in addition evaluate and select all infrastructure components such as software, hardware, BI tools and database management systems.
Responsibilities
Strategy & Planning
Assess and cultivate long-term strategic goals for data warehousing in conjunction with data users, analysts, department managers, clients, and other key stakeholders.
Coordinate and work with other technical staff to develop database architectures, coding standards, and quality assurance policies and procedures.
Plan and implement capacity and resource expansion to ensure data warehouse scalability.
Design and implement redundant systems, policies, and procedures for disaster recovery and data archiving to ensure effective availability, protection, and integrity of data assets.
Acquisition & Deployment
Use existing knowledge and conduct research to make recommendations on data warehouse products, services, protocols, and standards in support of procurement and development efforts.
Evaluate, recommend, and collaboratively select data warehouse components, including hardware, database management systems, ETL (extract, transform, load) software, data mining tools, meta data management tools and business intelligence solutions.
Operational Management
Work with data analysts within the Utilities’ organization to gather requirements for a data warehouse, data cube, or similar solution.
Work with end users and analysts to identify, create, and deliver data structures according to requirements.
Develop efficient and accurate ETL methods for efficiently loading the data warehouse, data mart, or other data store.
Create models for new data warehouse development and/or changes to existing data stores.
Work with analysts to create robust metadata describing the contents of the data warehouse.
Work with analysts at the Utilities to determine needed frequency of updating the data in the data warehouse/data mart/cube or other consolidated data store.
Design and manage data warehouse improvement and growth projects.
Identify inefficiencies and gaps in current data warehouse solutions and leverage solutions.
Identify data discrepancies and data quality issues and ensure data consistency and integrity.
Diagnose and resolve data warehouse access and performance issues.
Install and configure relevant components to ensure data warehouse access.
Execute data warehouse configuration and performance tuning.
Monitor system details within the data warehouse, including stored procedures and execution time, and implement efficiency improvements.
Ability to learn operational business process quickly.
Perform cost estimates for data migration between development, test, and production systems, and from source systems. Plan and coordinate these migrations.
Develop, implement, and maintain change control and testing processes for modifications to data systems.
Mentor and/or provide leadership to junior members of the team and other stakeholders.
Position Requirements
Formal Education & Certification
College diploma or university degree in the field of computer science, information systems, or computer engineering and/or 8 years of equivalent direct work experience in data warehousing, information engineering, and executive dashboarding.
Certifications in database technologies a plus.
Project Management Professional preferred
Knowledge & Experience
Working technical experience with designing, building, installing, configuring and supporting multi-terabyte data warehouses.
Significant experience with database platforms, including Oracle, SQL Server, and multi-dimensional data models.
Strong understanding of denormalization of data as it applies to data warehousing.
Strong understanding of star schema and dimensional tables.
Strong understanding of relational database structures, theories, principles, and practices.
Hands-on experience with information engineering, data architecting, data mining, large-scale data modeling, and business requirements gathering/analysis.
Ability to quickly understand in-house data-intensive applications.
In-depth technical knowledge of computing environments including servers, and client computing systems.
Working technical knowledge of current systems software, protocols, and standards, including best coding practices, ETL best practices, cyber security, and advances in current data warehousing tools.
Must have strong demonstrated project management skills that include collaboration and change management abilities.
Experience with process flow charting using tools such as Visio.
Proven project management experience
Strong ability to quickly understand the organization’s goals and objectives.
Good knowledge of applicable data privacy practices and laws.
Personal Attributes
Exceptional analytical, conceptual, and problem-solving abilities.
Strong written and oral communication skills.
Excellent technical architecture and technical support documentation skills.
Strong presentation and interpersonal skills.
Ability to work cross-organizationally to understand/document needs of entire organization.
Ability to conduct research into database issues, standards and products as required.
Ability to present ideas in user-friendly language.
Ability to effectively prioritize and execute tasks in a high-pressure environment.
Experience working in a team-oriented, highly collaborative environment.
Work Conditions
Works in office environment
Sitting for extended periods of time.
Dexterity of hands and fingers to operate a computer keyboard, mouse, and to handle other computer components.
Lifting and transporting of moderately heavy objects, such as computers, devices, and peripherals.
The City of Fort Collins will make reasonable accommodations for access to City services, programs and activities and will make special communication arrangements for persons with disabilities.
Notice Regarding Medical and/or Recreational Marijuana Use : Because the possession and use of marijuana, whether for medical use or otherwise, constitutes a federal offense and because the City is a drug free workplace, the City will not accommodate the medical use of marijuana and enforces written policy prohibiting working for the City while marijuana is in the body. The fact that state law recognizes medical marijuana as a prescribed, or otherwise permitted, medication does not alter or otherwise change this policy. The City of Fort Collins is an Equal Opportunity Employer. Applicants are considered for positions for which they have applied without regard to gender (regardless of gender identity or gender expression), race, color, religion, creed, national origin, ancestry, age 40 years or older, marital status, disability, sexual orientation, genetic information, pregnancy or other characteristics protected by law. For the purpose of this City policy “sexual orientation” means a person’s actual or perceived orientation toward heterosexuality, homosexuality, bisexuality.
BACKGROUND CHECK/MOTOR VEHICLE REPORT AND DRUG TEST REQUIRED WITHIN 48 HOURS OF OFFER. Note: Some information in your application may be public information under the Colorado Open Records Act.
Apr 08, 2019
Full-time
This is an exciting new position within IT for the City of Fort Collins.
The selected professional will have the opportunity to come in on the ground floor of creating a new Data Warehouse for the Utilities Service Area. With minimal direction the Data Warehouse Architect will strategically design and implement data warehouses, data marts, and data stores, while ensuring high levels of data availability and accuracy for analysts and staff across the organization. This individual is responsible for defining data standards and models for warehouse architectures as well as data quality standards.
The Data Warehouse Architect will in addition evaluate and select all infrastructure components such as software, hardware, BI tools and database management systems.
Responsibilities
Strategy & Planning
Assess and cultivate long-term strategic goals for data warehousing in conjunction with data users, analysts, department managers, clients, and other key stakeholders.
Coordinate and work with other technical staff to develop database architectures, coding standards, and quality assurance policies and procedures.
Plan and implement capacity and resource expansion to ensure data warehouse scalability.
Design and implement redundant systems, policies, and procedures for disaster recovery and data archiving to ensure effective availability, protection, and integrity of data assets.
Acquisition & Deployment
Use existing knowledge and conduct research to make recommendations on data warehouse products, services, protocols, and standards in support of procurement and development efforts.
Evaluate, recommend, and collaboratively select data warehouse components, including hardware, database management systems, ETL (extract, transform, load) software, data mining tools, meta data management tools and business intelligence solutions.
Operational Management
Work with data analysts within the Utilities’ organization to gather requirements for a data warehouse, data cube, or similar solution.
Work with end users and analysts to identify, create, and deliver data structures according to requirements.
Develop efficient and accurate ETL methods for efficiently loading the data warehouse, data mart, or other data store.
Create models for new data warehouse development and/or changes to existing data stores.
Work with analysts to create robust metadata describing the contents of the data warehouse.
Work with analysts at the Utilities to determine needed frequency of updating the data in the data warehouse/data mart/cube or other consolidated data store.
Design and manage data warehouse improvement and growth projects.
Identify inefficiencies and gaps in current data warehouse solutions and leverage solutions.
Identify data discrepancies and data quality issues and ensure data consistency and integrity.
Diagnose and resolve data warehouse access and performance issues.
Install and configure relevant components to ensure data warehouse access.
Execute data warehouse configuration and performance tuning.
Monitor system details within the data warehouse, including stored procedures and execution time, and implement efficiency improvements.
Ability to learn operational business process quickly.
Perform cost estimates for data migration between development, test, and production systems, and from source systems. Plan and coordinate these migrations.
Develop, implement, and maintain change control and testing processes for modifications to data systems.
Mentor and/or provide leadership to junior members of the team and other stakeholders.
Position Requirements
Formal Education & Certification
College diploma or university degree in the field of computer science, information systems, or computer engineering and/or 8 years of equivalent direct work experience in data warehousing, information engineering, and executive dashboarding.
Certifications in database technologies a plus.
Project Management Professional preferred
Knowledge & Experience
Working technical experience with designing, building, installing, configuring and supporting multi-terabyte data warehouses.
Significant experience with database platforms, including Oracle, SQL Server, and multi-dimensional data models.
Strong understanding of denormalization of data as it applies to data warehousing.
Strong understanding of star schema and dimensional tables.
Strong understanding of relational database structures, theories, principles, and practices.
Hands-on experience with information engineering, data architecting, data mining, large-scale data modeling, and business requirements gathering/analysis.
Ability to quickly understand in-house data-intensive applications.
In-depth technical knowledge of computing environments including servers, and client computing systems.
Working technical knowledge of current systems software, protocols, and standards, including best coding practices, ETL best practices, cyber security, and advances in current data warehousing tools.
Must have strong demonstrated project management skills that include collaboration and change management abilities.
Experience with process flow charting using tools such as Visio.
Proven project management experience
Strong ability to quickly understand the organization’s goals and objectives.
Good knowledge of applicable data privacy practices and laws.
Personal Attributes
Exceptional analytical, conceptual, and problem-solving abilities.
Strong written and oral communication skills.
Excellent technical architecture and technical support documentation skills.
Strong presentation and interpersonal skills.
Ability to work cross-organizationally to understand/document needs of entire organization.
Ability to conduct research into database issues, standards and products as required.
Ability to present ideas in user-friendly language.
Ability to effectively prioritize and execute tasks in a high-pressure environment.
Experience working in a team-oriented, highly collaborative environment.
Work Conditions
Works in office environment
Sitting for extended periods of time.
Dexterity of hands and fingers to operate a computer keyboard, mouse, and to handle other computer components.
Lifting and transporting of moderately heavy objects, such as computers, devices, and peripherals.
The City of Fort Collins will make reasonable accommodations for access to City services, programs and activities and will make special communication arrangements for persons with disabilities.
Notice Regarding Medical and/or Recreational Marijuana Use : Because the possession and use of marijuana, whether for medical use or otherwise, constitutes a federal offense and because the City is a drug free workplace, the City will not accommodate the medical use of marijuana and enforces written policy prohibiting working for the City while marijuana is in the body. The fact that state law recognizes medical marijuana as a prescribed, or otherwise permitted, medication does not alter or otherwise change this policy. The City of Fort Collins is an Equal Opportunity Employer. Applicants are considered for positions for which they have applied without regard to gender (regardless of gender identity or gender expression), race, color, religion, creed, national origin, ancestry, age 40 years or older, marital status, disability, sexual orientation, genetic information, pregnancy or other characteristics protected by law. For the purpose of this City policy “sexual orientation” means a person’s actual or perceived orientation toward heterosexuality, homosexuality, bisexuality.
BACKGROUND CHECK/MOTOR VEHICLE REPORT AND DRUG TEST REQUIRED WITHIN 48 HOURS OF OFFER. Note: Some information in your application may be public information under the Colorado Open Records Act.
Do you want to build resilient systems to handle million requests per day without downtime? Are you ready to make an impact by helping Zalando become the best high quality Marketplace in the Fashion Industry?
As Software Engineer within our Merchant Operations department you will be building the merchants platform - ensuring article data quality, handling Identity and Access Management and security topics, high-volume transactional and sensitive data, working on public facing interfaces for both developers and merchants and building applications from scratch.
WHERE YOUR EXPERTISE IS NEEDED
Create highly scalable solutions and own the entire development cycle - from architecture design to testing to implementation and maintenance
Own your code and decide on the technologies and tools to deliver as well operate large-scale applications on cloud (AWS or Kubernetes), based on a micro services architecture
Take a leading role in extending and improving integration, evolving our systems to scale as per our merchants demands.
WHAT WE'RE LOOKING FOR
Knowledge and passion on Identity Access Management and Security topics
Experience on JAVA and JBOSS
Pragmatic and curious, find right tool for the right job (we solve business problems, with lots of more easy algorithms)
Experience in software development, involving designing and developing large-scale, distributed software applications, tools, systems and services
Knowledge of micro services and cloud architectures as well as experience with cloud platforms, preferably Kubernetes
Knowledge in architecture / design methods and patterns, data and API specifications, quality assurance and testing methods
Passion to learn new and different languages like Golang, NodeJS, Scala, etc.
At Zalando Merchant Operations we use a variety of languages, but most of our backend systems are written in Scala . But don’t worry if you never tried Scala, as long as you are motivated to learn. Also, as a way to start, we do have services written in Java, Go, NodeJS, Haskell and many more . You’ll certainly enjoy working with us even more if you are motivated to learn.
PERKS AT WORK
Culture of trust, empowerment and constructive feedback, open source commitment, meetups, game nights, 70+ internal and fun guilds, knowledge sharing through talks, internal tech academy and blogs, product demos, parties and events
Competitive salary, employee share shop, 40% Zalando shopping discount, discounts from external partners, centrally located offices, public transport discounts, municipality services, great IT equipment, flexible working times, additional holidays and volunteering time off, free beverages and fruits, diverse sports and health offerings
Extensive onboarding, mentoring and personal development opportunities and an International team of experts
Relocation assistance for internationals, family service and parent & child rooms
We celebrate diversity and are committed to building teams that represent a variety of backgrounds, perspectives and skills. All employment is decided on the basis of qualifications, merit and business need.
ABOUT ZALANDO
Zalando is Europe’s leading online platform for fashion, connecting customers, brands and partners across 17 markets. We drive digital solutions for fashion, logistics, advertising and research, bringing head-to-toe fashion to more than 23 million active customers through diverse skill-sets, interests and languages our teams choose to use.
Apr 01, 2019
Full-time
Do you want to build resilient systems to handle million requests per day without downtime? Are you ready to make an impact by helping Zalando become the best high quality Marketplace in the Fashion Industry?
As Software Engineer within our Merchant Operations department you will be building the merchants platform - ensuring article data quality, handling Identity and Access Management and security topics, high-volume transactional and sensitive data, working on public facing interfaces for both developers and merchants and building applications from scratch.
WHERE YOUR EXPERTISE IS NEEDED
Create highly scalable solutions and own the entire development cycle - from architecture design to testing to implementation and maintenance
Own your code and decide on the technologies and tools to deliver as well operate large-scale applications on cloud (AWS or Kubernetes), based on a micro services architecture
Take a leading role in extending and improving integration, evolving our systems to scale as per our merchants demands.
WHAT WE'RE LOOKING FOR
Knowledge and passion on Identity Access Management and Security topics
Experience on JAVA and JBOSS
Pragmatic and curious, find right tool for the right job (we solve business problems, with lots of more easy algorithms)
Experience in software development, involving designing and developing large-scale, distributed software applications, tools, systems and services
Knowledge of micro services and cloud architectures as well as experience with cloud platforms, preferably Kubernetes
Knowledge in architecture / design methods and patterns, data and API specifications, quality assurance and testing methods
Passion to learn new and different languages like Golang, NodeJS, Scala, etc.
At Zalando Merchant Operations we use a variety of languages, but most of our backend systems are written in Scala . But don’t worry if you never tried Scala, as long as you are motivated to learn. Also, as a way to start, we do have services written in Java, Go, NodeJS, Haskell and many more . You’ll certainly enjoy working with us even more if you are motivated to learn.
PERKS AT WORK
Culture of trust, empowerment and constructive feedback, open source commitment, meetups, game nights, 70+ internal and fun guilds, knowledge sharing through talks, internal tech academy and blogs, product demos, parties and events
Competitive salary, employee share shop, 40% Zalando shopping discount, discounts from external partners, centrally located offices, public transport discounts, municipality services, great IT equipment, flexible working times, additional holidays and volunteering time off, free beverages and fruits, diverse sports and health offerings
Extensive onboarding, mentoring and personal development opportunities and an International team of experts
Relocation assistance for internationals, family service and parent & child rooms
We celebrate diversity and are committed to building teams that represent a variety of backgrounds, perspectives and skills. All employment is decided on the basis of qualifications, merit and business need.
ABOUT ZALANDO
Zalando is Europe’s leading online platform for fashion, connecting customers, brands and partners across 17 markets. We drive digital solutions for fashion, logistics, advertising and research, bringing head-to-toe fashion to more than 23 million active customers through diverse skill-sets, interests and languages our teams choose to use.
As a Head of Engineering, you lead a team of 20+ data & BI-engineers. You will implement best practice processes to create an agile, fast and efficiently working team. You will provide technical direction and ongoing leadership for the department which builds all planning and reporting products within Category Management.
WHERE YOUR EXPERTISE IS NEEDED
Impact. You drive team mastery in world-class engineering and development techniques to deliver fast, stable and scalable production system and AI models. You mentor your Engineering Managers to help their teams make the right decisions fast, but you also don’t mind rolling up your sleeves to provide hands-on technical guidance
Vision. You co-own the product vision and roadmap. You are responsible for knowing what it takes to achieve our vision, for setting ambitious but attainable goals, for ensuring that your teams’ estimates are reliable, and for developing the architecture vision and technology roadmap to drive Zalando’s core business.
Collaboration. You facilitate collaboration, communication and decision-making between different data engineering teams and stakeholders. You partner with Senior Product leaders, other Engineering and Architecture leaders to build the best possible solutions for Zalando by following the agile approach.
Growth. You attract, assemble and retain the right engineering talent while cultivating a culture of ownership, mastery, innovation and purpose.
Development. You drive continuous improvement and develop your Engineering Managers to become bar raisers and future Leaders within Zalando.
WHAT WE ARE LOOKING FOR
Leadership. You bring extensive experience in people management and agile development environment. (coaching, team-building and conflict resolution. )
Experience. In designing, coding and operating large-scale data-heavy business processes implementations and in solving data science and data integration challenges, preferable in an e-commerce environment. You possess a sharp analytical mind and proven ability to understand and analyze complex processes, structures and problems supported by a strong methodical approach.
Technologies. Hands-on experience with at least one programming language like Java, Scala or Python and interest in the newest developments in data engineering technologies. You have already built large scale platforms using microservices, machine learning, data technologies such as Spark, Presto, Hadoop or Kafka running on AWS in container solutions like docker.
You are familiar with RDBMS like Oracle, Exasol or MS SQL, reporting systems such as MicroStrategy or Tableau.
Execution. In delivering great products on-time and within budget with an attention to detail, ability to look at solutions in creative and unconventional ways; recognise opportunities to innovate and engage stakeholders in vision and strategy.
Education. In holding BS / MS in Computer Science, a Data Science field or a related discipline
YOU ARE OFFERED
Culture. A culture of trust, empowerment and feedback; 100+ internal guilds; tech talks; product demos; coder dojos.
Perks. Competitive salary; great shopping discount on a wide range of products on zalando.com; discounts from external partners; public transport discounts; relocation assistance for internationals; municipality services*; flexible working times; family service and parent & child rooms*; additional holidays & volunteering time off; diverse sports and health offerings*. (*Depending on location)
Development. Extensive onboarding, personal branding support focused on leadership, opportunity to attend and speak at conferences.
Peers. International, accomplished experts and self-organized, autonomous teams.
Want to join us? Then go ahead and apply!!
Start the conversation. Tell us what the next step in your career could be.
Apr 01, 2019
Full-time
As a Head of Engineering, you lead a team of 20+ data & BI-engineers. You will implement best practice processes to create an agile, fast and efficiently working team. You will provide technical direction and ongoing leadership for the department which builds all planning and reporting products within Category Management.
WHERE YOUR EXPERTISE IS NEEDED
Impact. You drive team mastery in world-class engineering and development techniques to deliver fast, stable and scalable production system and AI models. You mentor your Engineering Managers to help their teams make the right decisions fast, but you also don’t mind rolling up your sleeves to provide hands-on technical guidance
Vision. You co-own the product vision and roadmap. You are responsible for knowing what it takes to achieve our vision, for setting ambitious but attainable goals, for ensuring that your teams’ estimates are reliable, and for developing the architecture vision and technology roadmap to drive Zalando’s core business.
Collaboration. You facilitate collaboration, communication and decision-making between different data engineering teams and stakeholders. You partner with Senior Product leaders, other Engineering and Architecture leaders to build the best possible solutions for Zalando by following the agile approach.
Growth. You attract, assemble and retain the right engineering talent while cultivating a culture of ownership, mastery, innovation and purpose.
Development. You drive continuous improvement and develop your Engineering Managers to become bar raisers and future Leaders within Zalando.
WHAT WE ARE LOOKING FOR
Leadership. You bring extensive experience in people management and agile development environment. (coaching, team-building and conflict resolution. )
Experience. In designing, coding and operating large-scale data-heavy business processes implementations and in solving data science and data integration challenges, preferable in an e-commerce environment. You possess a sharp analytical mind and proven ability to understand and analyze complex processes, structures and problems supported by a strong methodical approach.
Technologies. Hands-on experience with at least one programming language like Java, Scala or Python and interest in the newest developments in data engineering technologies. You have already built large scale platforms using microservices, machine learning, data technologies such as Spark, Presto, Hadoop or Kafka running on AWS in container solutions like docker.
You are familiar with RDBMS like Oracle, Exasol or MS SQL, reporting systems such as MicroStrategy or Tableau.
Execution. In delivering great products on-time and within budget with an attention to detail, ability to look at solutions in creative and unconventional ways; recognise opportunities to innovate and engage stakeholders in vision and strategy.
Education. In holding BS / MS in Computer Science, a Data Science field or a related discipline
YOU ARE OFFERED
Culture. A culture of trust, empowerment and feedback; 100+ internal guilds; tech talks; product demos; coder dojos.
Perks. Competitive salary; great shopping discount on a wide range of products on zalando.com; discounts from external partners; public transport discounts; relocation assistance for internationals; municipality services*; flexible working times; family service and parent & child rooms*; additional holidays & volunteering time off; diverse sports and health offerings*. (*Depending on location)
Development. Extensive onboarding, personal branding support focused on leadership, opportunity to attend and speak at conferences.
Peers. International, accomplished experts and self-organized, autonomous teams.
Want to join us? Then go ahead and apply!!
Start the conversation. Tell us what the next step in your career could be.
Hilton is creating a best-in-class Data and Analytics department that will lead a connected ecosystem of data, technology, tools, techniques, people and processes. This innovative data & analytics function will drive advanced analytics and actionable insights to help drive Hilton's performance.
What will I be doing?
The Data Science Team serves as internal advanced analytics consultants to key functions across Hilton's business, bringing predictive and prescriptive analytics through Machine Language (ML) and Artificial Intelligence (AI). The team consists of data scientists, advanced analytics modelers, and data engineers, working closely with other Data & Analytics (DNA) teams, as well as Product Team partners.
Working with the Senior Director, Data Science, you will be directly influencing the creation and delivery of advanced analytics modules and data science services in a big data environment. You will be responsible for serving as the primary resource for defining and recommending analytics application architecture, data frameworks, database structures, as well as monitoring and addressing application and database performance, issues, and problems.
More specifically, you will:
Work closely with business, technical and data science teams to capture, analyze and understand business requirements, translating activities and business objectives into analytical codes for application in a production scale environment.
Architect, document, develop, code, and test advanced analytics models into scalable advanced analytics solutions in a big data environment.
Partner collaboratively with other functional teams to access data elements, understanding the data being analyzed and identifying improvement opportunities for the data ingestion process.
Facilitate and identify repeatable testing strategies for measuring results produced by analytics models.
Contribute insights and solutions regarding database storage and optimization.
Develop database design and architecture documentation.
What are we looking for?
We are looking for problem solvers who are passionate about data and who love to have the chance to create improvements to data management. We believe success in this role will demonstrate itself through the following attributes and skills:
Self-starter, well organized, and an aggressive teammate willing to take ownership of responsibilities with a high level of positive energy and drive
Excellent time management and project management skills that contribute to leading multiple priorities, working well under time constraints and effectively handling concurrent demands to prioritize responsibilities
Effective communicator, collaborator, influencer and solution seeker across a variety of opinions
To fulfill this role successfully, you must possess the following minimum qualifications and experience:
BA/BS Bachelor's Degree
Three (3) years of professional experience
Two (2) years of experience in data engineering, data architecture, and/or data analytics
One (1) year of hands-on experience in architecting, designing and implementing advanced analytics models, large-scale optimization, and machine learning algorithms for scalable production environments
One (1) year of experience in a full life-cycle analytics code environment, including development, deployment, and maintenance efforts involving distributed data sets
Experience with Python, Spark/Scala, Java, C/C++ and SQL, Unix Programming
Experience with Hadoop, Hive, Spark and MySQL
Experience with AWS Cloud Computing and Architecture
It would be advantageous in this position for you to demonstrate the following capabilities and distinctions:
MA/MS Master's Degree
AWS Certifications
Experience in Internet of Things (IoT) analytics model development involving sensors and connected devices
Experience in ETL management, SQL/NoSQL platforms, Apache product (NiFi, KafKa) and data warehousing technologies (Snowflake, Redshift)
Exposure to information security, networking, and data governance
What will it be like to work for Hilton?
Hilton is the leading global hospitality company, spanning the lodging sector from luxurious full-service hotels and resorts to extended-stay suites and mid-priced hotels. For nearly a century, Hilton has offered business and leisure travelers the finest in accommodations, service, amenities and value. Hilton is dedicated to continuing its tradition of providing exceptional guest experiences across its global brands. Our vision to fill the earth with the light and warmth of hospitality unites us as a team to create remarkable hospitality experiences around the world every day. And, our amazing Team Members are at the heart of it all!
EOE/AA/Disabled/Veterans
Feb 01, 2019
Full-time
Hilton is creating a best-in-class Data and Analytics department that will lead a connected ecosystem of data, technology, tools, techniques, people and processes. This innovative data & analytics function will drive advanced analytics and actionable insights to help drive Hilton's performance.
What will I be doing?
The Data Science Team serves as internal advanced analytics consultants to key functions across Hilton's business, bringing predictive and prescriptive analytics through Machine Language (ML) and Artificial Intelligence (AI). The team consists of data scientists, advanced analytics modelers, and data engineers, working closely with other Data & Analytics (DNA) teams, as well as Product Team partners.
Working with the Senior Director, Data Science, you will be directly influencing the creation and delivery of advanced analytics modules and data science services in a big data environment. You will be responsible for serving as the primary resource for defining and recommending analytics application architecture, data frameworks, database structures, as well as monitoring and addressing application and database performance, issues, and problems.
More specifically, you will:
Work closely with business, technical and data science teams to capture, analyze and understand business requirements, translating activities and business objectives into analytical codes for application in a production scale environment.
Architect, document, develop, code, and test advanced analytics models into scalable advanced analytics solutions in a big data environment.
Partner collaboratively with other functional teams to access data elements, understanding the data being analyzed and identifying improvement opportunities for the data ingestion process.
Facilitate and identify repeatable testing strategies for measuring results produced by analytics models.
Contribute insights and solutions regarding database storage and optimization.
Develop database design and architecture documentation.
What are we looking for?
We are looking for problem solvers who are passionate about data and who love to have the chance to create improvements to data management. We believe success in this role will demonstrate itself through the following attributes and skills:
Self-starter, well organized, and an aggressive teammate willing to take ownership of responsibilities with a high level of positive energy and drive
Excellent time management and project management skills that contribute to leading multiple priorities, working well under time constraints and effectively handling concurrent demands to prioritize responsibilities
Effective communicator, collaborator, influencer and solution seeker across a variety of opinions
To fulfill this role successfully, you must possess the following minimum qualifications and experience:
BA/BS Bachelor's Degree
Three (3) years of professional experience
Two (2) years of experience in data engineering, data architecture, and/or data analytics
One (1) year of hands-on experience in architecting, designing and implementing advanced analytics models, large-scale optimization, and machine learning algorithms for scalable production environments
One (1) year of experience in a full life-cycle analytics code environment, including development, deployment, and maintenance efforts involving distributed data sets
Experience with Python, Spark/Scala, Java, C/C++ and SQL, Unix Programming
Experience with Hadoop, Hive, Spark and MySQL
Experience with AWS Cloud Computing and Architecture
It would be advantageous in this position for you to demonstrate the following capabilities and distinctions:
MA/MS Master's Degree
AWS Certifications
Experience in Internet of Things (IoT) analytics model development involving sensors and connected devices
Experience in ETL management, SQL/NoSQL platforms, Apache product (NiFi, KafKa) and data warehousing technologies (Snowflake, Redshift)
Exposure to information security, networking, and data governance
What will it be like to work for Hilton?
Hilton is the leading global hospitality company, spanning the lodging sector from luxurious full-service hotels and resorts to extended-stay suites and mid-priced hotels. For nearly a century, Hilton has offered business and leisure travelers the finest in accommodations, service, amenities and value. Hilton is dedicated to continuing its tradition of providing exceptional guest experiences across its global brands. Our vision to fill the earth with the light and warmth of hospitality unites us as a team to create remarkable hospitality experiences around the world every day. And, our amazing Team Members are at the heart of it all!
EOE/AA/Disabled/Veterans
Overview
Come join our Central Data Organization as Enterprise Data Architect!
You will be designing, building, iterating, and prototyping algorithms and applications on top of the collective financial data of 37 million consumers and small businesses. Applications will span multiple business lines, including personal finance, small business accounting, and tax!
Discover what it’s like to be part of a fast paced team dealing with challenging engineering problems where self-motivated engineers can do the best work of their life.
Responsibilities
Establishes the structure, connections, and relationships within the data in preparation for mining, modeling, or migration activities
Discover data sources, get access to them, import them, clean them up, and make them “machine learning ready”.
Explore new technology shifts in order to determine
Take an active role in collaborating to develop strategic direction, systems roadmap, and business and operational processes by providing the required technical guidance.
Execution – Ability to drive multiple large-scale projects in parallel by providing the required architectural guidance
Hands On – Be prepared to get hands on and debug complex issues or create fully working POCs which teams can take forward
Grow Talent – Grooms next level technical leadership and takes responsibility in growing overall technical leadership in the group
Speed as a Habit – can operate in a fast-moving environment, make quick decisions and execute fiercely to deliver outcomes
Deep Dive – Take passion in going deep into critical issues and apply the technical/process/mindset-change learnings back into the product and team
Technical roadmap – Develop a 3-year technology vision for the owning product or sub-systems.
Provide perspective on leading industry trends, recommendations on new and emerging technologies, technology prototypes, patent proposals and engineering process improvements
Drives architectural advancements in data pipelines
Qualifications
At least 10+ years of overall experience
BS/MS in Computer Science or related area
Experience in design and development of large-scale machine learning platforms from an engineering or product perspective (where the platform is the ‘product’)
Strong knowledge of data governance and privacy by design
Excellent communication skills with examples of influencing across organizations
Ability to explain complex technical architectures and designs to both technical and non-technical stakeholders and drive decisions
Ability to operate at highly varying levels of abstraction from business strategy to product strategy to high level technical design to detailed technical design to implementation
Knowledgeable with Data Science tools and frameworks (i.e. Python, Scikit, NLTK, Numpy, Pandas, TensorFlow, Keras, R, Spark).
Knowledge of machine learning techniques (i.e. classification, regression, and clustering) and large scale systems and applications.
Experience with building solutions to improve Developer Productivity and data-driven decisions
Understand machine learning principles (training, validation, etc.)
Team/Leadership Qualifications:
Team player possessing strong analytical, problem solving and communication skills
Strong mentoring skills. Able to influence and communicate effectively with both technical and non-technical people
Demonstrated ability to work with global teams across time zones
Ability to work effectively in a fast paced, complex technical environment
High adaptability and flexibility
Experience driving for results across cross-functional teams while maintaining effective working relationships
Excellent communication skills. Communicates clearly, succinctly and persuasively to all levels of employees, customers and management (including executives)
"Self-starter" attitude and the ability to make decisions independently
Imagine a career where your creative inspiration can fuel BIG innovation. Year-over-year, Intuit has been recognized as a best employer and is consistently ranked on Fortune's "100 Best Companies To Work For" and Fortune World's "Most Admired Software Companies" lists. Immerse yourself in our award winning culture while creating breakthrough solutions that simplify the lives of consumers and small businesses and their customers worldwide.
Intuit is expanding its social, mobile, and global footprint with a full suite of products and services that are revolutionizing the industry. Utilizing design for delight and lean startup methodologies, our entrepreneurial employees have brought more than 250 innovations to market – from QuickBooks® and TurboTax®, to GoPayment, Mint.com, big data, cloud (SaaS, PaaS) and mobile apps. The breadth and depth of these customer-driven innovations mean limitless opportunities for you to turn your ingenious ideas into reality at Intuit.
Discover what it's like to be part of a team that rewards taking risks and trying new things. It's time to love what you do! Check out all of our career opportunities at: careers.intuit.com. EOE AA M/F/Vet/Disability
Intuit will consider for employment qualified applicants with criminal histories in a manner consistent with requirements of local law.
Feb 01, 2019
Full-time
Overview
Come join our Central Data Organization as Enterprise Data Architect!
You will be designing, building, iterating, and prototyping algorithms and applications on top of the collective financial data of 37 million consumers and small businesses. Applications will span multiple business lines, including personal finance, small business accounting, and tax!
Discover what it’s like to be part of a fast paced team dealing with challenging engineering problems where self-motivated engineers can do the best work of their life.
Responsibilities
Establishes the structure, connections, and relationships within the data in preparation for mining, modeling, or migration activities
Discover data sources, get access to them, import them, clean them up, and make them “machine learning ready”.
Explore new technology shifts in order to determine
Take an active role in collaborating to develop strategic direction, systems roadmap, and business and operational processes by providing the required technical guidance.
Execution – Ability to drive multiple large-scale projects in parallel by providing the required architectural guidance
Hands On – Be prepared to get hands on and debug complex issues or create fully working POCs which teams can take forward
Grow Talent – Grooms next level technical leadership and takes responsibility in growing overall technical leadership in the group
Speed as a Habit – can operate in a fast-moving environment, make quick decisions and execute fiercely to deliver outcomes
Deep Dive – Take passion in going deep into critical issues and apply the technical/process/mindset-change learnings back into the product and team
Technical roadmap – Develop a 3-year technology vision for the owning product or sub-systems.
Provide perspective on leading industry trends, recommendations on new and emerging technologies, technology prototypes, patent proposals and engineering process improvements
Drives architectural advancements in data pipelines
Qualifications
At least 10+ years of overall experience
BS/MS in Computer Science or related area
Experience in design and development of large-scale machine learning platforms from an engineering or product perspective (where the platform is the ‘product’)
Strong knowledge of data governance and privacy by design
Excellent communication skills with examples of influencing across organizations
Ability to explain complex technical architectures and designs to both technical and non-technical stakeholders and drive decisions
Ability to operate at highly varying levels of abstraction from business strategy to product strategy to high level technical design to detailed technical design to implementation
Knowledgeable with Data Science tools and frameworks (i.e. Python, Scikit, NLTK, Numpy, Pandas, TensorFlow, Keras, R, Spark).
Knowledge of machine learning techniques (i.e. classification, regression, and clustering) and large scale systems and applications.
Experience with building solutions to improve Developer Productivity and data-driven decisions
Understand machine learning principles (training, validation, etc.)
Team/Leadership Qualifications:
Team player possessing strong analytical, problem solving and communication skills
Strong mentoring skills. Able to influence and communicate effectively with both technical and non-technical people
Demonstrated ability to work with global teams across time zones
Ability to work effectively in a fast paced, complex technical environment
High adaptability and flexibility
Experience driving for results across cross-functional teams while maintaining effective working relationships
Excellent communication skills. Communicates clearly, succinctly and persuasively to all levels of employees, customers and management (including executives)
"Self-starter" attitude and the ability to make decisions independently
Imagine a career where your creative inspiration can fuel BIG innovation. Year-over-year, Intuit has been recognized as a best employer and is consistently ranked on Fortune's "100 Best Companies To Work For" and Fortune World's "Most Admired Software Companies" lists. Immerse yourself in our award winning culture while creating breakthrough solutions that simplify the lives of consumers and small businesses and their customers worldwide.
Intuit is expanding its social, mobile, and global footprint with a full suite of products and services that are revolutionizing the industry. Utilizing design for delight and lean startup methodologies, our entrepreneurial employees have brought more than 250 innovations to market – from QuickBooks® and TurboTax®, to GoPayment, Mint.com, big data, cloud (SaaS, PaaS) and mobile apps. The breadth and depth of these customer-driven innovations mean limitless opportunities for you to turn your ingenious ideas into reality at Intuit.
Discover what it's like to be part of a team that rewards taking risks and trying new things. It's time to love what you do! Check out all of our career opportunities at: careers.intuit.com. EOE AA M/F/Vet/Disability
Intuit will consider for employment qualified applicants with criminal histories in a manner consistent with requirements of local law.
