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Data Engineer II, Flex Analytics

Global technology company that leads in e-commerce, cloud computing, and digital innovation.
Data
Mid-Level Software Engineer
In-Person
5,000+ Employees
3+ years of experience
Enterprise SaaS

Description For Data Engineer II, Flex Analytics

Join Amazon's Flex Analytics Team in building a data platform that powers Amazon Flex worldwide. As a Data Engineer II, you'll be instrumental in developing and supporting data technologies that provide flexible and structured access to data. The role focuses on implementing a self-service analytics platform, defining metrics and KPIs, and automating reporting and data visualization.

You'll work with cutting-edge technologies including AWS Redshift, S3, AWS Glue, EMR, Kinesis, FireHose, and Lambda. The position requires expertise in enterprise data architecture, including design, creation, and management of analytical data infrastructure. You'll be responsible for implementing scalable processes to publish data and ensure data integrity across analysis and reporting datasets.

This is an exciting opportunity to shape the future of Amazon Flex, working with the gig economy platform that's transforming last-mile delivery. You'll collaborate with cross-functional teams including product management, operations, finance, marketing, and engineering to drive business performance through data-driven insights.

The ideal candidate should have strong experience with RDBMS, ETL, Data Integration, Data Warehousing, Data Governance and Data Lakes. Proficiency in Python, R, or Spark is highly valued. You'll be joining a team that's committed to innovation and making history in the delivery service industry.

Last updated 8 hours ago

Responsibilities For Data Engineer II, Flex Analytics

  • Develop and improve data architecture using AWS Redshift, AWS S3, Spark and EMR
  • Improve data ingestion models, ETL jobs, and alarming
  • Stay up-to-date with advances in data persistence and big data technologies
  • Partner with BIEs and Analysts across teams to build and verify hypothesis
  • Design scalable data architecture for increasing data volumes

Requirements For Data Engineer II, Flex Analytics

Python
  • 3+ years of data engineering experience
  • 4+ years of SQL experience
  • Experience with data modeling, warehousing and building ETL pipelines

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