Data Engineer II, Workforce Intelligence

Amazon Lab126

Amazon Lab126, part of the initiative to enhance customer-centric experiences, is on a mission to lead hourly staffing initiatives through Workforce Intelligence. The team uses data insights to revolutionize Amazon's labor solutions, ensuring efficiency and high performance in staff hiring. As a central player, the Data Engineer II will spearhead technical endeavors to optimize Amazon's fulfillment operations.

In this role you can expect to have the responsibilities:

• Design and operate scalable data structures for analytics.
• Implement both real-time and batch data ingestion processes leveraging AWS and big data tools.
• Translate business requirements into scalable data solutions.
• Collaborate with engineers to implement data integrity and validation protocols.
• Automate and enhance ongoing reporting and analysis processes.

This role comes with the following benefits:

• Diverse and inclusive workplace.

This role requires you to have:

• 3+ years of data engineering and SQL experience.
• Experience with data modeling, warehousing, and ETL pipelines.
• Proficiency in AWS tools like Redshift, S3, AWS Glue, EMR, and Kinesis.
• Strong programming skills in languages such as Python, Java, or Scala.

You would benefit from having:

• Familiarity with non-relational databases.
• Experience with orchestration frameworks like Airflow and Step functions.
• Understanding of professional software development life cycles.

Amazon promotes equality and welcomes applications from all backgrounds, empowering employees through a supportive and inclusive culture. They offer accommodations for candidates requiring adjustments in the hiring process.