Data Engineer, Amazon

• Are you interested in being a part of Amazon’s fastest growing business?
• Are you excited to work on cutting edge Big Data technologies to help shape the future of Grocery data? If the answer to both these questions is Yes, then come be a part of Amazon Fresh’s Central Data Infrastructure team (DASH)
• Successful candidate would have extensive experience working with big data, building data warehouses and data processing services
• They are effective at seeing data patterns and building generic data solutions to improve user experience
• Proficiency in SQL and data modelling allows to create data warehouses and tables conforming to wide range of business needs
• Previous ETL and MPP experience enables candidate to build extensible and scalable pipelines capable of processing large amounts of data in a short time, ex. >1T rows within few hours
• Wide industry experience helps detect inefficiencies in existing designs and address them with minimal effort
• 1+ years of data engineering experience
• Experience with data modeling, warehousing and building ETL pipelines
• Experience with one or more query language (e.g., SQL, PL/SQL, DDL, MDX, HiveQL, SparkSQL, Scala)
• Experience with one or more scripting language (e.g., Python, KornShell)

Desirable

• This role offers you an opportunity to work on VP level visibility initiatives and make a lasting impression on how grocery data is managed and distributed across the globe
• Help build the infrastructure to answer questions with data, using software engineering best practices, data management fundamentals, data storage principles, and recent advances in distributed systems
• Manage AWS resources
• Collaborate with Business Intelligence Engineers to recognize and help adopt best practices in reporting and analysis: data integrity, test design, analysis, validation, and documentation
• Collaborate with Data Scientists to implement advanced analytics algorithms that exploit our rich data sets for statistical analysis, prediction, clustering and machine learning
• Drive the architecture and technology choices that enable a world-class user experience
• Develop expertise in a broad range of Amazon’s data resources and know when, how, and which to use and which not to use
• Encourage the organization to adopt next-generation data architecture strategies, proposing both data flows and storage solutions
• Be comfortable with a degree of ambiguity and willing to develop quick proof of concepts, iterate and improve
• Create extensible designs and easy to maintain solutions with the long term vision in mind
• Have an understanding and empathy for business objectives, and continually align your work with those objectives and seek to deliver business value. You listen effectively