Amazon - Seattle, WA

posted 4 days ago

Full-time - Mid Level
Seattle, WA
Sporting Goods, Hobby, Musical Instrument, Book, and Miscellaneous Retailers

About the position

The Data Engineer II position within the International Seller Services Central Analytics Team at Amazon focuses on developing data-driven analytical solutions to support sellers on Amazon's global platform. The role involves constructing and maintaining complex data pipelines, building scalable solutions, and ensuring data quality and governance using various AWS tools.

Responsibilities

  • Construct intricate ETL pipelines utilizing Datanet (Redshift) and Craddle (Spark Sql).
  • Create and manage datasets within AWS Dynamo DB, AWS S3, and Amazon Redshift.
  • Develop complex ETL workflows employing AWS Glue.
  • Orchestrate step functions through Python / Scala.
  • Implement and enforce rigorous data quality standards and data governance policies, ensuring data accuracy, consistency, and security.
  • Continuously monitor and optimize data pipelines and processes to enhance performance and efficiency.
  • Collaborate closely with data analysts and visualization experts to facilitate data-driven decision-making.
  • Demonstrate profound expertise in AWS data services, including Amazon S3, Glue, EMR, Redshift, Athena, and more.
  • Develop and maintain mission-critical applications extensively used by sellers worldwide.

Requirements

  • 5+ years of data engineering experience.
  • Experience with data modeling, warehousing and building ETL pipelines.

Nice-to-haves

  • Experience with AWS technologies like Redshift, S3, AWS Glue, EMR, Kinesis, FireHose, Lambda, and IAM roles and permissions.
  • Experience with non-relational databases / data stores (object storage, document or key-value stores, graph databases, column-family databases).

Benefits

  • Full range of medical benefits
  • Financial benefits including equity and sign-on payments
  • Diversity and inclusion programs
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