7 jobs found

Snowflake started with a clear vision: develop a cloud data platform that is effective, affordable, and accessible to all data users. Snowflake developed an innovative new product with a built-for-the-cloud architecture that combines the power of data warehousing, the flexibility of big data platforms, and the elasticity of the cloud at a fraction of the cost of traditional solutions. We are now a global, world-class organization with offices in more than a dozen countries and serving many more. Our Sales Engineering organization is seeking a Principal Data Platform Architect to join our Field CTO Office who can provide leadership in working with both technical and business executives in the design and architecture of the Snowflake Cloud Data Platform as a critical component of their enterprise data architecture and overall ecosystem. In this role you will work with sales teams, product management, and technology partners to leverage best practices and reference architectures...

Are you interested in making an impact and partnering with various Amazon businesses including our e-Commerce websites, Prime, Alexa and AWS? Ever wonder how it feels to have hundreds of thousands of users counting on you to be performant, innovative and adaptable? Access Management Systems (AMS) is the group for you! We are responsible for the protection of customer and corporate data, while being connected to all parts of Amazon's business and its massive worldwide service-oriented architecture. Whether you're passionate about building highly scalable and reliable systems in the cloud or a software developer who likes to solve interesting and complex business problems, AMS is the place for you. We are looking for a Software Development Engineer to design and build large scale, highly impactful Permissions and Access Management Systems with company-wide reach. There is ample opportunity to innovate and deliver high impact outcomes. You will collaborate with the...

About the Job Join us and be a part of a start-up cell of a large international company where you will be working with state-of-the-art technology, make use of NLP and Machine Learning, and where your career can grow exponentially. You will be part of the Paperpal team powered by CACTUS, where we are rethinking how science is communicated and helping scientists write better science smarter. You will be part of an international working environment with employees across the EU and Asia, who work together to build cutting-edge web experiences and APIs used globally by scientists. This is a remote working opportunity . Responsibilities: Write new functionality in an existing frontend framework, a modern tech stack with React, Node.js, Redux and Typescript , with focus on the Typescript part of the stack Working with tools, technologies and plugin architectures that will challenge your abilities to write and work in asynchronous editing scenarios to achieve...

Snowflake started with a clear vision: develop a cloud data platform that is effective, affordable, and accessible to all data users. Snowflake developed an innovative new product with a built-for-the-cloud architecture that combines the power of data warehousing, the flexibility of big data platforms, and the elasticity of the cloud at a fraction of the cost of traditional solutions. We are now a global, world-class organization with offices in more than a dozen countries and serving many more. JOB DESCRIPTION Provide technical and thought leadership designing, testing and implementing methodologies to forecast and monitor metric time series. Develop algorithms to detect anomalies, assess risks/threats, and core metric fluctuations with our Security team. Conduct ad-hoc analysis to understand unexpected metric movements and communicate results to other data scientists, product managers and company leadership. Interface with engineers, product managers and product...

What you will do Let’s do this. Let’s change the world. In this vital role you will work closely with product owner/business analyst and delivery managers to understand the complexity of regional requirements. This role will be part of the newly established technical/engineering team, lead design and develop of data flow pipelines to extract, transform, and load data from various data sources in various data format to enterprise data lake and data warehouse system in three regions in AWS. Responsibilities Be able to do hands on work, lead data engineer team, mentor junior data engineers Collaborate with Business SME’s, and Data Scientists to architect data products and services Provide architectural and data model oversight for processes which perform data extraction, transformation, work flow management and data quality check Drive the exploration and adoption of new tools, technique, propose improvements to the data pipelines and system...

Provides automation solutions for complex projects from an end-to-end perspective including, front-end, middle-tier, and back-end data providers, using Automation frameworks (Selenium), Java and JavaScript, Cucumber DBB framework, and REST Assured. Participates in Scrum activities -- test coverage reviews, story grooming sessions, and sprint planning. Develops and automates manual test concepts using Behavior Driven Development (BDD). Provides business solutions by developing complex or multiple software applications. Primary Responsibilities: Develops original and creative technical solutions to on-going development efforts. Designs applications or subsystems on major projects and for/in multiple platforms. Develops applications for multiple projects supporting several divisional initiatives. Supports and performs all phases of testing leading to implementation. Assists in the planning and conducting of user acceptance testing. Develops comprehensive...

Position: Quantitative Modeler - US Sporting Events Location: Remote (US) Looking for a talented and highly motivated Quantitative Modeler for a unique and exciting opportunity to work with a small team to accurately predict the outcomes of future US sporting events. Candidate must have a strong understanding the wagering markets involving these events.  Candidate should have hands-on experience with statistical modeling.  Ideal candidates will also have experience in traditional data science (analyzing data) and more modern data science (AI, deep learning). Candidates must be capable of working in a remote environment. Required Qualifications:  Python (scripting, numpy, scipy, matplotlib, scikit-learn, jupyter notebooks) Experience with machine learning algorithms, such as neural networks/deep learning, SVM, XGBoost, Random Forest, generalized linear models, etc. Understanding of Sports Wagering Markets Experience with Amazon Web...