We have created a new Big Data Platforms group within Disney Direct-To-Consumer and International (DTCI) technology with the skills, drive, and passion to innovate, create, and succeed in enabling a Direct to Consumer Strategy for ESPN, Disney and ABC products. We are here to disrupt and start a cultural revolution that can lead a revolution in the application of data and analytics across The Walt Disney Company, focused on Content Personalization/Recommendation, Deep User Understanding, and Audience Segmentation for Linear to Digital Ad Sales, and Analytics. We need an experienced Staff Software Engineer who drive multiple data initiatives applying innovative architecture that can scale in the cloud. We are looking for a creative and talented individual who loves to design a scalable platform which scale at peta-byte level and extract value from both structured and unstructured real-time data. Specifically, we are looking for a technology leader to build a highly scalable and extensible Big Data platform which enables real time collection, storage, modeling, and analysis of massive data sets from numerous channels. You will also build a self-serve machine learning (and deep learning) pipeline for multiple data scientists develop, test, deploy, a/b test models on top of the data platform you are responsible for. You must be self-driven to continuously evaluate new technologies, innovate and deliver solutions for business-critical applications with little to no oversight from management team. The internet-scale platforms that you design and build will be a core assets in the delivering the highest quality content to over 150MM+ consumers on monthly basis. This is an opportunity to fundamentally evolve how DTCI delivers content and monetizes our audiences.
Build cool things – Build software across our entire cutting-edge data platform, including near real-time data collection, processing, storage, and serving real-time analytics and other real-time use cases such as recommender systems & segmentation.
Lead and coach – Mentor other sr. engineers by developing re-usable frameworks. Review design and code produced by other engineers working across the organization
Harness curiosity – Change how we think, act, and utilize our data by performing exploratory and quantitative analytics, data mining, and discovery.
Innovate and inspire – Think of new ways to help make our data platform more scalable, resilient and reliable and then work across our team to put your ideas into action.
Think at scale - Lead the transformation of a peta-byte scale batch based processing platform to a near real-time streaming platform using technologies such as Apache Kafka, Cassandra, Spark and other open source frameworks.
Have pride – Ensure performance isn’t our weakness by implementing and refining robust data processing, REST services, RPC (in an out of HTTP), and caching technologies.
Grow with us – Help us stay ahead of the curve by working closely with data architects, stream processing specialists, API developers, our DevOps team, and analysts to design systems which can scale elastically in ways which make other groups jealous.
ML First - Provide expert level advice to data scientists, data engineers, and operations to deliver high quality analytics via machine learning and deep learning via data pipelines and APIs.
Build and Support – Embrace the DevOps mentality to build, deploy and support applications in cloud with minimal help from other teams.
Basic Qualifications :
Not your first rodeo – Have 10+ years of experience developing with a mix of languages (Java, Scala etc.) and open source frameworks to implement data collection, processing, and serving technologies in near-time basis.
Data and API ninja –You are also very handy with big data framework such as Hadoop & Apache Spark, No-SQL systems such as Cassandra or DynamoDB, Streaming technologies such as Apache Kafka; Understand reactive programming and dependency injection such as Spring to develop REST services.
Have a technology toolbox – Hands on experience with newer technologies relevant to the data space such as Spark, Kafka, Apache Druid (or any other OLAP databases).
Cloud First - Plenty of experience with developing and deploying in a cloud native environment preferably AWS cloud.
Embrace ML – Work with data scientists to operationalize machine learning models and build apps to make use of power of machine learning.
Problem solver – Enjoy new and meaningful technology or business challenges which require you to think and respond quickly.
Passion and creativity – Are passionate about data, technology, & creative innovation.
Preferred Qualifications:
Prior experience building internet scale platforms – handling Peta- byte scale data, operationalizing clusters with hundreds of compute nodes in cloud environment.
Prior experience in building real-time data collection infrastructure including client SDKs will be a huge plus.
Experience in operationalizing Machine Learning workflows to scale will be a huge plus as well.
Experience with Content Personalization/Recommendation, Audience Segmentation for Linear to Digital Ad Sales, and/or Analytics
Experience with open source such as Spring, Hadoop, Spark, Kafka, Druid, Pilosa and Yarn/Kubernetes.
Experience in working with Data Scientists to operationalize machine learning models.
Proficiency with agile development methodologies shipping features every two weeks. It would be awesome if you have a robust portfolio on Github and / or open source contributions you are proud to share.
Required Education :
Bachelor’s degree or better in Computer Science or a related technical field or equivalent job experience.
Preferred Education :
Masters in Computer Science or similar is preferred.
Jul 29, 2019
Full-time
We have created a new Big Data Platforms group within Disney Direct-To-Consumer and International (DTCI) technology with the skills, drive, and passion to innovate, create, and succeed in enabling a Direct to Consumer Strategy for ESPN, Disney and ABC products. We are here to disrupt and start a cultural revolution that can lead a revolution in the application of data and analytics across The Walt Disney Company, focused on Content Personalization/Recommendation, Deep User Understanding, and Audience Segmentation for Linear to Digital Ad Sales, and Analytics. We need an experienced Staff Software Engineer who drive multiple data initiatives applying innovative architecture that can scale in the cloud. We are looking for a creative and talented individual who loves to design a scalable platform which scale at peta-byte level and extract value from both structured and unstructured real-time data. Specifically, we are looking for a technology leader to build a highly scalable and extensible Big Data platform which enables real time collection, storage, modeling, and analysis of massive data sets from numerous channels. You will also build a self-serve machine learning (and deep learning) pipeline for multiple data scientists develop, test, deploy, a/b test models on top of the data platform you are responsible for. You must be self-driven to continuously evaluate new technologies, innovate and deliver solutions for business-critical applications with little to no oversight from management team. The internet-scale platforms that you design and build will be a core assets in the delivering the highest quality content to over 150MM+ consumers on monthly basis. This is an opportunity to fundamentally evolve how DTCI delivers content and monetizes our audiences.
Build cool things – Build software across our entire cutting-edge data platform, including near real-time data collection, processing, storage, and serving real-time analytics and other real-time use cases such as recommender systems & segmentation.
Lead and coach – Mentor other sr. engineers by developing re-usable frameworks. Review design and code produced by other engineers working across the organization
Harness curiosity – Change how we think, act, and utilize our data by performing exploratory and quantitative analytics, data mining, and discovery.
Innovate and inspire – Think of new ways to help make our data platform more scalable, resilient and reliable and then work across our team to put your ideas into action.
Think at scale - Lead the transformation of a peta-byte scale batch based processing platform to a near real-time streaming platform using technologies such as Apache Kafka, Cassandra, Spark and other open source frameworks.
Have pride – Ensure performance isn’t our weakness by implementing and refining robust data processing, REST services, RPC (in an out of HTTP), and caching technologies.
Grow with us – Help us stay ahead of the curve by working closely with data architects, stream processing specialists, API developers, our DevOps team, and analysts to design systems which can scale elastically in ways which make other groups jealous.
ML First - Provide expert level advice to data scientists, data engineers, and operations to deliver high quality analytics via machine learning and deep learning via data pipelines and APIs.
Build and Support – Embrace the DevOps mentality to build, deploy and support applications in cloud with minimal help from other teams.
Basic Qualifications :
Not your first rodeo – Have 10+ years of experience developing with a mix of languages (Java, Scala etc.) and open source frameworks to implement data collection, processing, and serving technologies in near-time basis.
Data and API ninja –You are also very handy with big data framework such as Hadoop & Apache Spark, No-SQL systems such as Cassandra or DynamoDB, Streaming technologies such as Apache Kafka; Understand reactive programming and dependency injection such as Spring to develop REST services.
Have a technology toolbox – Hands on experience with newer technologies relevant to the data space such as Spark, Kafka, Apache Druid (or any other OLAP databases).
Cloud First - Plenty of experience with developing and deploying in a cloud native environment preferably AWS cloud.
Embrace ML – Work with data scientists to operationalize machine learning models and build apps to make use of power of machine learning.
Problem solver – Enjoy new and meaningful technology or business challenges which require you to think and respond quickly.
Passion and creativity – Are passionate about data, technology, & creative innovation.
Preferred Qualifications:
Prior experience building internet scale platforms – handling Peta- byte scale data, operationalizing clusters with hundreds of compute nodes in cloud environment.
Prior experience in building real-time data collection infrastructure including client SDKs will be a huge plus.
Experience in operationalizing Machine Learning workflows to scale will be a huge plus as well.
Experience with Content Personalization/Recommendation, Audience Segmentation for Linear to Digital Ad Sales, and/or Analytics
Experience with open source such as Spring, Hadoop, Spark, Kafka, Druid, Pilosa and Yarn/Kubernetes.
Experience in working with Data Scientists to operationalize machine learning models.
Proficiency with agile development methodologies shipping features every two weeks. It would be awesome if you have a robust portfolio on Github and / or open source contributions you are proud to share.
Required Education :
Bachelor’s degree or better in Computer Science or a related technical field or equivalent job experience.
Preferred Education :
Masters in Computer Science or similar is preferred.
Movies Anywhere is the next generation of in-home entertainment, providing an unparalleled digital entertainment experience. Leveraging cutting edge technology, unique partnerships, and a talented team, Movies Anywhere is an exclusive, cross-platform, cloud-based movie service that enables consumers to seamlessly discover, grow, access, and enjoy their personal digital movie collection across a variety of studios, retailers, and platforms all in one convenient app and/or website. Movies Anywhere seeks a Staff Data Engineer to join a team of seasoned, dedicated technologists solving a range of interesting problems in innovative ways in an exciting and dynamic industry. We are looking for a self-starting engineer who wants to shape the next generation of video consumption applications. We’re a casual shop that values passion, community involvement and code that stands out. If you are interested, we’d love to hear from you. The Data Engineer will work in a small team of multi-disciplined technologists developing insights to drive the Business, Marketing and Finance decisions for our next-generation video delivery and consumption platform. We expect you to be up to date on the happening in the data community, passionate about what you do, and connected to the open source community. You will participate in overall system design, developing multi-tiered data solutions emphasizing reuse and good design patterns.
Responsibilities :
Design, build and implement Hadoop/Spark batch jobs
Build and optimize performance of Spark, Kafka, ELK, and whatever else makes sense for real-time pipelines
Design and architect high quality data-lake, data-warehouse, and data-marts data models
Enable and implement Data Science workflows and advanced machine learning algorithms
Build and optimize performance of ElasticSearch cluster and relevance
Build and maintain data pipelines orchestration
Develop and cultivate expertise in current and new technologies and tools
Collaborate with other software engineers and cross-functional teams
Share new ideas with a larger community of highly experienced technologists
Ability to prioritize tasks, requirements, and complexity
Mentor junior data engineers on best practices
Basic Qualifications :
Real passion for coding (If you have a Github profile, that’s awesome! We would love to check it out!)
Understanding of distributed systems and distributed computation
Working knowledge in at least 2 of: Scala, Java, Python, or Go-Lang
Working knowledge of data Apache Spark ecosystem technologies like Spark, Kafka, Hive, Presto, Oozie, Pig, Hue, Zeppelin
Demonstrated working knowledge of data modeling, data-warehouse, data-mart and data-lake
Unit, Integration, and Load testing
Developing REST APIs
Git
Maven, SBT, and/or Gradle
Unix/Linux
Docker containers building and deployment
Working experience of AWS
Excellent communication and collaboration skills
Preferred Qualifications:
Knowledge of Machine Learning Frameworks (MLib,Tensorflow, etc)
GraphQL Knowledge
Kubernetes knowledge
Apache Spark GraphX
R
GitLab CI/CD
Akka Streams
Required Education :
BS in Computer Science or related field with 7+ years of experience
Aug 15, 2019
Full-time
Movies Anywhere is the next generation of in-home entertainment, providing an unparalleled digital entertainment experience. Leveraging cutting edge technology, unique partnerships, and a talented team, Movies Anywhere is an exclusive, cross-platform, cloud-based movie service that enables consumers to seamlessly discover, grow, access, and enjoy their personal digital movie collection across a variety of studios, retailers, and platforms all in one convenient app and/or website. Movies Anywhere seeks a Staff Data Engineer to join a team of seasoned, dedicated technologists solving a range of interesting problems in innovative ways in an exciting and dynamic industry. We are looking for a self-starting engineer who wants to shape the next generation of video consumption applications. We’re a casual shop that values passion, community involvement and code that stands out. If you are interested, we’d love to hear from you. The Data Engineer will work in a small team of multi-disciplined technologists developing insights to drive the Business, Marketing and Finance decisions for our next-generation video delivery and consumption platform. We expect you to be up to date on the happening in the data community, passionate about what you do, and connected to the open source community. You will participate in overall system design, developing multi-tiered data solutions emphasizing reuse and good design patterns.
Responsibilities :
Design, build and implement Hadoop/Spark batch jobs
Build and optimize performance of Spark, Kafka, ELK, and whatever else makes sense for real-time pipelines
Design and architect high quality data-lake, data-warehouse, and data-marts data models
Enable and implement Data Science workflows and advanced machine learning algorithms
Build and optimize performance of ElasticSearch cluster and relevance
Build and maintain data pipelines orchestration
Develop and cultivate expertise in current and new technologies and tools
Collaborate with other software engineers and cross-functional teams
Share new ideas with a larger community of highly experienced technologists
Ability to prioritize tasks, requirements, and complexity
Mentor junior data engineers on best practices
Basic Qualifications :
Real passion for coding (If you have a Github profile, that’s awesome! We would love to check it out!)
Understanding of distributed systems and distributed computation
Working knowledge in at least 2 of: Scala, Java, Python, or Go-Lang
Working knowledge of data Apache Spark ecosystem technologies like Spark, Kafka, Hive, Presto, Oozie, Pig, Hue, Zeppelin
Demonstrated working knowledge of data modeling, data-warehouse, data-mart and data-lake
Unit, Integration, and Load testing
Developing REST APIs
Git
Maven, SBT, and/or Gradle
Unix/Linux
Docker containers building and deployment
Working experience of AWS
Excellent communication and collaboration skills
Preferred Qualifications:
Knowledge of Machine Learning Frameworks (MLib,Tensorflow, etc)
GraphQL Knowledge
Kubernetes knowledge
Apache Spark GraphX
R
GitLab CI/CD
Akka Streams
Required Education :
BS in Computer Science or related field with 7+ years of experience
We have created a new Big Data Platforms group within Disney Direct-To-Consumer and International (DTCI) technology with the skills, drive, and passion to innovate, create, and succeed in enabling a Direct to Consumer Strategy for ESPN, Disney and ABC products. We are here to disrupt and start a cultural revolution that can lead a revolution in the application of data and analytics across The Walt Disney Company, focused on Content Personalization/Recommendation, Deep User Understanding, and Audience Segmentation for Linear to Digital Ad Sales, and Analytics. We need an experienced Software Engineer who drive multiple data initiatives applying innovative architecture that can scale in the cloud. We are looking for a creative and talented individual who loves to design a scalable platform which scale at peta-byte level and extract value from both structured and unstructured real-time data. Specifically, we are looking for a technology leader to build a highly scalable and extensible Big Data platform which enables collection, storage, modeling, and analysis of massive data sets from numerous channels. You will also build a self-serve machine learning (and deep learning) pipeline for multiple data scientists develop, test, deploy, a/b test models on top of the data platform you are responsible for. You must be self-driven to continuously evaluate new technologies, innovate and deliver solutions for business-critical applications with little to no oversight from management team. The internet-scale platforms that you design and build will be a core assets in the delivering the highest quality content to over 150MM+ consumers on monthly basis. This is an opportunity to fundamentally evolve how DTCI delivers content and monetizes our audiences.
Responsibilities :
Build cool things – Build software across our entire cutting-edge data platform, including data processing, storage, and serving large-scale web APIs, with awesome cutting-edge technologies operating in real-time with high-availability.
Harness curiosity – Change how we think, act, and utilize our data by performing exploratory and quantitative analytics, data mining, and discovery.
Innovate and inspire – Think of new ways to help make our data platform more scalable, resilient and reliable and then work across our team to put your ideas into action.
Think at scale - Lead the transformation of a peta-byte scale batch based processing platform to a near real-time streaming platform using technologies such as Apache Kafka, Cassandra, Spark and other open source frameworks.
Have pride – Ensure performance isn’t our weakness by implementing and refining robust data processing, REST services, RPC (in an out of HTTP), and caching technologies.
Grow with us – Help us stay ahead of the curve by working closely with data architects, stream processing specialists, API developers, our DevOps team, and analysts to design systems which can scale elastically in ways which make other groups jealous.
Lead and coach – Mentor other software engineers by developing re-usable frameworks. Review design and code produced by other engineers.
ML First - Provide expert level advice to data scientists, data engineers, and operations to deliver high quality analytics via machine learning and deep learning via data pipelines and APIs.
Build and Support – Embrace the DevOps mentality to build, deploy and support applications in cloud with minimal help from other teams.
Basic Qualifications :
Not your first rodeo – Have 6+ years of experience developing with a mix of languages (Java, Scala, Python etc.) and open source frameworks to implement data ingest, processing, and serving technologies in near-time basis.
Data and API ninja –You are also very handy with big data framework such as Hadoop & Apache Spark, No-SQL systems such as Cassandra or DynamoDB, Streaming technologies such as Apache Kafka; Understand reactive programming and dependency injection such as Spring to develop REST services.
Have a technology toolbox – Hands on experience with newer technologies relevant to the data space such as Spark, Kafka, Apache Druid (or any other OLAP databases).
Cloud First - Plenty of experience with developing and deploying in a cloud native environment preferably AWS cloud.
Embrace ML – Work with data scientists to operationalize machine learning models and build apps to make use of power of machine learning.
Problem solver – Enjoy new and meaningful technology or business challenges which require you to think and respond quickly.
Passion and creativity – Are passionate about data, technology, & creative innovation
Preferred Qualifications:
Prior experience building internet scale platforms – handling Peta- byte scale data, operationalizing clusters with hundreds of compute nodes in cloud environment.
Experience in operationalizing Machine Learning workflows to scale will be a huge plus as well.
Experience with Content Personalization/Recommendation, Audience Segmentation for Linear to Digital Ad Sales, and/or Analytics
Experience with open source such as Spring, Hadoop, Spark, Kafka, Druid, Pilosa and Yarn/Kubernetes.
Experience in working with Data Scientists to operationalize machine learning models.
Proficiency with agile development methodologies shipping features every two weeks. It would be awesome if you have a robust portfolio on Github and / or open source contributions you are proud to share.
Required Education :
Bachelor’s degree or better in Computer Science or a related technical field or equivalent job experience
Preferred Education :
Masters in Computer Science or similar is preferred
Jul 29, 2019
Full-time
We have created a new Big Data Platforms group within Disney Direct-To-Consumer and International (DTCI) technology with the skills, drive, and passion to innovate, create, and succeed in enabling a Direct to Consumer Strategy for ESPN, Disney and ABC products. We are here to disrupt and start a cultural revolution that can lead a revolution in the application of data and analytics across The Walt Disney Company, focused on Content Personalization/Recommendation, Deep User Understanding, and Audience Segmentation for Linear to Digital Ad Sales, and Analytics. We need an experienced Software Engineer who drive multiple data initiatives applying innovative architecture that can scale in the cloud. We are looking for a creative and talented individual who loves to design a scalable platform which scale at peta-byte level and extract value from both structured and unstructured real-time data. Specifically, we are looking for a technology leader to build a highly scalable and extensible Big Data platform which enables collection, storage, modeling, and analysis of massive data sets from numerous channels. You will also build a self-serve machine learning (and deep learning) pipeline for multiple data scientists develop, test, deploy, a/b test models on top of the data platform you are responsible for. You must be self-driven to continuously evaluate new technologies, innovate and deliver solutions for business-critical applications with little to no oversight from management team. The internet-scale platforms that you design and build will be a core assets in the delivering the highest quality content to over 150MM+ consumers on monthly basis. This is an opportunity to fundamentally evolve how DTCI delivers content and monetizes our audiences.
Responsibilities :
Build cool things – Build software across our entire cutting-edge data platform, including data processing, storage, and serving large-scale web APIs, with awesome cutting-edge technologies operating in real-time with high-availability.
Harness curiosity – Change how we think, act, and utilize our data by performing exploratory and quantitative analytics, data mining, and discovery.
Innovate and inspire – Think of new ways to help make our data platform more scalable, resilient and reliable and then work across our team to put your ideas into action.
Think at scale - Lead the transformation of a peta-byte scale batch based processing platform to a near real-time streaming platform using technologies such as Apache Kafka, Cassandra, Spark and other open source frameworks.
Have pride – Ensure performance isn’t our weakness by implementing and refining robust data processing, REST services, RPC (in an out of HTTP), and caching technologies.
Grow with us – Help us stay ahead of the curve by working closely with data architects, stream processing specialists, API developers, our DevOps team, and analysts to design systems which can scale elastically in ways which make other groups jealous.
Lead and coach – Mentor other software engineers by developing re-usable frameworks. Review design and code produced by other engineers.
ML First - Provide expert level advice to data scientists, data engineers, and operations to deliver high quality analytics via machine learning and deep learning via data pipelines and APIs.
Build and Support – Embrace the DevOps mentality to build, deploy and support applications in cloud with minimal help from other teams.
Basic Qualifications :
Not your first rodeo – Have 6+ years of experience developing with a mix of languages (Java, Scala, Python etc.) and open source frameworks to implement data ingest, processing, and serving technologies in near-time basis.
Data and API ninja –You are also very handy with big data framework such as Hadoop & Apache Spark, No-SQL systems such as Cassandra or DynamoDB, Streaming technologies such as Apache Kafka; Understand reactive programming and dependency injection such as Spring to develop REST services.
Have a technology toolbox – Hands on experience with newer technologies relevant to the data space such as Spark, Kafka, Apache Druid (or any other OLAP databases).
Cloud First - Plenty of experience with developing and deploying in a cloud native environment preferably AWS cloud.
Embrace ML – Work with data scientists to operationalize machine learning models and build apps to make use of power of machine learning.
Problem solver – Enjoy new and meaningful technology or business challenges which require you to think and respond quickly.
Passion and creativity – Are passionate about data, technology, & creative innovation
Preferred Qualifications:
Prior experience building internet scale platforms – handling Peta- byte scale data, operationalizing clusters with hundreds of compute nodes in cloud environment.
Experience in operationalizing Machine Learning workflows to scale will be a huge plus as well.
Experience with Content Personalization/Recommendation, Audience Segmentation for Linear to Digital Ad Sales, and/or Analytics
Experience with open source such as Spring, Hadoop, Spark, Kafka, Druid, Pilosa and Yarn/Kubernetes.
Experience in working with Data Scientists to operationalize machine learning models.
Proficiency with agile development methodologies shipping features every two weeks. It would be awesome if you have a robust portfolio on Github and / or open source contributions you are proud to share.
Required Education :
Bachelor’s degree or better in Computer Science or a related technical field or equivalent job experience
Preferred Education :
Masters in Computer Science or similar is preferred
Consumer Insight, Measurement & Analytics (CIMA) is part of the Global Marketing & Sales organization within Disney Parks, Experiences & Products (DPEP). CIMA influences decision making with integrated, objective, and actionable insights.
Within CIMA, the Strategic Analytics team is seeking a Senior Analyst, Business Intelligence to support Consumer Products (CP), the division of DPEP that brings stories and characters to life through innovative and engaging physical products and digital experiences across more than 100 categories, from toys and t-shirts, to apps, books and console games.
In this role, the Senior Analyst, Business Intelligence must possess a strong knowledge of data structure and a passion for marketing data and analytics. This individual will leverage their BI platforming and systems knowledge to enable more data-centric analysis that provides business impact to the Consumer Products segment. This role will be responsible for managing, maintaining, and transforming large quantities of media, sales, product, and event data in order to enable the organization to maximize its marketing return on investment and effectiveness of consumer programs.
The position reports to the Senior Manager, Strategic Analytics and will be based in Glendale, CA.
Responsibilities :
The Senior Analyst, Business Intelligence’s key responsibilities include, but are not limited to, the following:
Identify new and robust sources of media data and plan technical solutions for onboarding
Data acquisition – work with Technology partners to onboard new sources
Data transformation – manage ETL process, QC data to be compatible with internal reporting platform and ensure data accuracy
Use programming languages and relational databases for data acquisition, ETL, data cleansing & QA, and analysis
Automate data acquisition and storage, provide ongoing database support
Recommend data management solutions
Document all data processes
Set-up and conduct on-going data QA to ensure data used for reporting and analysis is accurate
Create database views and BI interfaces that enhance UX for anyone analyzing data
Dashboard development and data visualization
Provide data support for regularly scheduled meetings, presentations, and ad hoc requests
Find marketing opportunities and mitigate risks by mining data and conducting data analyses
Report any key issues or learnings to senior leadership
Become marketing data SME to develop an expertise and evangelize those data sets
Basic Qualifications :
4+ years of experience in business intelligence and/or data engineering roles
Bachelor’s degree in engineering, computer science, information systems, data science, applied mathematics, statistics, or other related fields.
Expertise in relational databases, data processing, and big data environments (Teradata, Hadoop, Oracle, AWS, BigQuery)
Expertise in programming languages (SQL, R, Python, Hive, SPSS, Excel)
Comfortable learning and using new programming or markup languages and tools
Proficient with business intelligence and data visualization tools (Tableau, Power BI, Looker, Microstrategy)
Experience working with marketing, paid media, CRM, digital, and social media data (Google Ads, YouTube, Facebook, Adobe Analytics/Omniture)
Proven analytical capabilities and data mining skills
Strong attentiveness to detail
Proven team player and strong partnering skills
Demonstrated proactive problem-solving and decision making skills
Demonstrated ability to deliver work on time
Demonstrated verbal and written communication skills
Ability to excel in a fast-paced, complex, and ambiguous business environment
Intellectually curious, analytically rigorous, hard-working, good work ethic and an on-point business intuition
Preferred Qualifications:
7+ years data & analytics experience
Experience in consumer products, retail, publishing, or digital products strongly preferred
Prior knowledge of internal Disney data and databases
Prior experience with DMP and adtech/martech platforms
Project management experience
Required Education :
Bachelor’s degree in engineering, computer science, data science, applied mathematics, statistics, or other related analytics fields
Preferred Education :
Advanced degree in an analytics field or MBA
Jul 29, 2019
Full-time
Consumer Insight, Measurement & Analytics (CIMA) is part of the Global Marketing & Sales organization within Disney Parks, Experiences & Products (DPEP). CIMA influences decision making with integrated, objective, and actionable insights.
Within CIMA, the Strategic Analytics team is seeking a Senior Analyst, Business Intelligence to support Consumer Products (CP), the division of DPEP that brings stories and characters to life through innovative and engaging physical products and digital experiences across more than 100 categories, from toys and t-shirts, to apps, books and console games.
In this role, the Senior Analyst, Business Intelligence must possess a strong knowledge of data structure and a passion for marketing data and analytics. This individual will leverage their BI platforming and systems knowledge to enable more data-centric analysis that provides business impact to the Consumer Products segment. This role will be responsible for managing, maintaining, and transforming large quantities of media, sales, product, and event data in order to enable the organization to maximize its marketing return on investment and effectiveness of consumer programs.
The position reports to the Senior Manager, Strategic Analytics and will be based in Glendale, CA.
Responsibilities :
The Senior Analyst, Business Intelligence’s key responsibilities include, but are not limited to, the following:
Identify new and robust sources of media data and plan technical solutions for onboarding
Data acquisition – work with Technology partners to onboard new sources
Data transformation – manage ETL process, QC data to be compatible with internal reporting platform and ensure data accuracy
Use programming languages and relational databases for data acquisition, ETL, data cleansing & QA, and analysis
Automate data acquisition and storage, provide ongoing database support
Recommend data management solutions
Document all data processes
Set-up and conduct on-going data QA to ensure data used for reporting and analysis is accurate
Create database views and BI interfaces that enhance UX for anyone analyzing data
Dashboard development and data visualization
Provide data support for regularly scheduled meetings, presentations, and ad hoc requests
Find marketing opportunities and mitigate risks by mining data and conducting data analyses
Report any key issues or learnings to senior leadership
Become marketing data SME to develop an expertise and evangelize those data sets
Basic Qualifications :
4+ years of experience in business intelligence and/or data engineering roles
Bachelor’s degree in engineering, computer science, information systems, data science, applied mathematics, statistics, or other related fields.
Expertise in relational databases, data processing, and big data environments (Teradata, Hadoop, Oracle, AWS, BigQuery)
Expertise in programming languages (SQL, R, Python, Hive, SPSS, Excel)
Comfortable learning and using new programming or markup languages and tools
Proficient with business intelligence and data visualization tools (Tableau, Power BI, Looker, Microstrategy)
Experience working with marketing, paid media, CRM, digital, and social media data (Google Ads, YouTube, Facebook, Adobe Analytics/Omniture)
Proven analytical capabilities and data mining skills
Strong attentiveness to detail
Proven team player and strong partnering skills
Demonstrated proactive problem-solving and decision making skills
Demonstrated ability to deliver work on time
Demonstrated verbal and written communication skills
Ability to excel in a fast-paced, complex, and ambiguous business environment
Intellectually curious, analytically rigorous, hard-working, good work ethic and an on-point business intuition
Preferred Qualifications:
7+ years data & analytics experience
Experience in consumer products, retail, publishing, or digital products strongly preferred
Prior knowledge of internal Disney data and databases
Prior experience with DMP and adtech/martech platforms
Project management experience
Required Education :
Bachelor’s degree in engineering, computer science, data science, applied mathematics, statistics, or other related analytics fields
Preferred Education :
Advanced degree in an analytics field or MBA
At Disney, we‘re storytellers. We make the impossible, possible. We do this through utilizing and developing cutting-edge technology and pushing the envelope to bring stories to life through our movies, products, interactive games, parks and resorts, and media networks. Now is your chance to join our talented team that delivers unparalleled creative content to audiences around the world. The Data Solutions & Architecture group is part of the Enterprise Technology organization. We are responsible for architecting, developing and managing the data platforms, data integrations and reporting and analytics solutions for The Walt Disney Company’s enterprise business data. We are experts at architecting and building highly scalable data and analytics solutions that meet the business requirements of the groups across the company we support. The Data Platforms position is one of the key architect roles on team. You will have the opportunity to be integrally involved in and influence the architecture of many complex and high-profile projects that will shape the future of data, reporting and analytics for The Walt Disney Company. As part of our team, you will be working with a full range of data technologies and architectures including big data platforms, enterprise data warehouses, pub/sub data messaging, master data management, AI/ML predictive analytics, Robotics Process Automation, and multiple reporting and analytics frameworks and tools. You will be working in a complex, challenging, fast-paced and rewarding environment, with other like-minded peers who are solutions and results oriented, and who enjoy collaboration. Besides being experts in their respective fields, our architects and developers are smart, curious, innovative, solutions-oriented, respectful, highly collaborative and continuous learners.
Responsibilities :
Architecting highly-scalable, distributed enterprise data solutions with focus on big data platforms and enterprise data warehouses for reporting & analytics, and particular focus on HANA-based data platforms
Designing and developing highly scalable and flexible data platform solutions
Designing and documenting architecture at multiple levels (high-level to detailed) and across multiple views (conceptual, logical, physical, data flow and sequence diagrams)
Providing active “hands-on” architectural guidance and leadership through the entire lifecycle of development projects
Translating business requirements into conceptual and detailed technology solutions
Collaborating closely with other architects and peers across the organization architecting and delivering solutions
Performing third-party vendor assessments
Developing and leading proof-of-concepts projects
Keeping fluent in industry and marketplace evolution; continuously learning new data technologies and introducing these into the organization
Cross-training peers and mentoring junior teammates
Basic Qualifications :
Technical Skills
10 years plus experience architecting enterprise data solutions
10 years of hands-on data platform design and development in large-scale and complex environments
In-depth expertise and experience with SAP HANA
Experience with HANA data modeling and integrating HANA with source data systems and BI tools
Expertise architecting and delivering highly-scalable, distributed, cloud-based enterprise data solutions
Fluent understanding of data security and compliance requirements and experience designing data solutions that are secure and compliant
Fluent in architecting and documenting architecture at multiple levels (high-level to detailed) and across multiple views (conceptual, logical, physical, data flow and sequence diagrams)
Understanding and experience with Solutions Architecture methodology and practices
Ability to translate business requirements into conceptual and detailed technology solutions
Ability to perform third-party vendor assessments
Ability to develop and lead proof-of-concepts
Focused on delivering practical, working solutions (no ivory tower solutions)
Practical experience designing data solutions in multiple models and technologies: relational, no-SQL, big data, graph DB, unstructured and structured
Experience and expertise with data lifecycle management, data-tiering and data archiving
Functional understanding of cloud data storage and analytics offerings
Experience migrating legacy systems to modern solutions
Familiarity and working experience with common data integration patterns and processes including: ETL, APIs, Messaging Bus, Pub-Sub, flat files
Experience with Hadoop, MapReduce, Spark, R, Python, SQL
Experience and expertise with all aspects of data management: data governance, data mastering, meta-data management, data taxonomies and ontologies
Non-Technical Skills
Strong collaboration skills
Ability to “influence without authority”
Strong communication skills, both oral and written. Ability to communicate well to both technical and business audiences.
Thinks strategically
Innovative thinking and embraces innovation by constantly seeking new or contrary ideas and approaches to what has been done in the past
Results oriented, biased toward action
Keeps fluent in new technologies and successful sharing with peers and introducing new technologies into the organization
Good at managing relationships with colleagues and stakeholders outside the organization
Not afraid to take risks
Creates enduring excitement about what is possible, while setting direction and driving results
Thinks big and broad, without being constrained by existing norms or business models
Recognizes diverse backgrounds, points of view, and cultural histories that directly impact the organization’s ability to innovate
Challenges teams – and self, to deliver the very best in everything they do
Seeks differing points of view
Required Education :
Bachelor’s degree in Computer Science or related field
Preferred Education :
Master’s degree in Computer Science or related field
Jul 29, 2019
Full-time
At Disney, we‘re storytellers. We make the impossible, possible. We do this through utilizing and developing cutting-edge technology and pushing the envelope to bring stories to life through our movies, products, interactive games, parks and resorts, and media networks. Now is your chance to join our talented team that delivers unparalleled creative content to audiences around the world. The Data Solutions & Architecture group is part of the Enterprise Technology organization. We are responsible for architecting, developing and managing the data platforms, data integrations and reporting and analytics solutions for The Walt Disney Company’s enterprise business data. We are experts at architecting and building highly scalable data and analytics solutions that meet the business requirements of the groups across the company we support. The Data Platforms position is one of the key architect roles on team. You will have the opportunity to be integrally involved in and influence the architecture of many complex and high-profile projects that will shape the future of data, reporting and analytics for The Walt Disney Company. As part of our team, you will be working with a full range of data technologies and architectures including big data platforms, enterprise data warehouses, pub/sub data messaging, master data management, AI/ML predictive analytics, Robotics Process Automation, and multiple reporting and analytics frameworks and tools. You will be working in a complex, challenging, fast-paced and rewarding environment, with other like-minded peers who are solutions and results oriented, and who enjoy collaboration. Besides being experts in their respective fields, our architects and developers are smart, curious, innovative, solutions-oriented, respectful, highly collaborative and continuous learners.
Responsibilities :
Architecting highly-scalable, distributed enterprise data solutions with focus on big data platforms and enterprise data warehouses for reporting & analytics, and particular focus on HANA-based data platforms
Designing and developing highly scalable and flexible data platform solutions
Designing and documenting architecture at multiple levels (high-level to detailed) and across multiple views (conceptual, logical, physical, data flow and sequence diagrams)
Providing active “hands-on” architectural guidance and leadership through the entire lifecycle of development projects
Translating business requirements into conceptual and detailed technology solutions
Collaborating closely with other architects and peers across the organization architecting and delivering solutions
Performing third-party vendor assessments
Developing and leading proof-of-concepts projects
Keeping fluent in industry and marketplace evolution; continuously learning new data technologies and introducing these into the organization
Cross-training peers and mentoring junior teammates
Basic Qualifications :
Technical Skills
10 years plus experience architecting enterprise data solutions
10 years of hands-on data platform design and development in large-scale and complex environments
In-depth expertise and experience with SAP HANA
Experience with HANA data modeling and integrating HANA with source data systems and BI tools
Expertise architecting and delivering highly-scalable, distributed, cloud-based enterprise data solutions
Fluent understanding of data security and compliance requirements and experience designing data solutions that are secure and compliant
Fluent in architecting and documenting architecture at multiple levels (high-level to detailed) and across multiple views (conceptual, logical, physical, data flow and sequence diagrams)
Understanding and experience with Solutions Architecture methodology and practices
Ability to translate business requirements into conceptual and detailed technology solutions
Ability to perform third-party vendor assessments
Ability to develop and lead proof-of-concepts
Focused on delivering practical, working solutions (no ivory tower solutions)
Practical experience designing data solutions in multiple models and technologies: relational, no-SQL, big data, graph DB, unstructured and structured
Experience and expertise with data lifecycle management, data-tiering and data archiving
Functional understanding of cloud data storage and analytics offerings
Experience migrating legacy systems to modern solutions
Familiarity and working experience with common data integration patterns and processes including: ETL, APIs, Messaging Bus, Pub-Sub, flat files
Experience with Hadoop, MapReduce, Spark, R, Python, SQL
Experience and expertise with all aspects of data management: data governance, data mastering, meta-data management, data taxonomies and ontologies
Non-Technical Skills
Strong collaboration skills
Ability to “influence without authority”
Strong communication skills, both oral and written. Ability to communicate well to both technical and business audiences.
Thinks strategically
Innovative thinking and embraces innovation by constantly seeking new or contrary ideas and approaches to what has been done in the past
Results oriented, biased toward action
Keeps fluent in new technologies and successful sharing with peers and introducing new technologies into the organization
Good at managing relationships with colleagues and stakeholders outside the organization
Not afraid to take risks
Creates enduring excitement about what is possible, while setting direction and driving results
Thinks big and broad, without being constrained by existing norms or business models
Recognizes diverse backgrounds, points of view, and cultural histories that directly impact the organization’s ability to innovate
Challenges teams – and self, to deliver the very best in everything they do
Seeks differing points of view
Required Education :
Bachelor’s degree in Computer Science or related field
Preferred Education :
Master’s degree in Computer Science or related field
