Data Engineer II, OIS/CXI Analytics, Ops Tech Solution Network Dev

An on-site Data Engineer II role in Austin, Texas invites you to join Amazon's OIS/CXI Analytics team within the Ops Tech Solution Network Dev group. The role centers on designing and maintaining scalable data pipelines and ML-ready data infrastructure to power OpsTech operations and GenAI initiatives. Collaboration with cross-functional stakeholders is key to delivering production-grade data solutions that support global operations.

The following scope outlines the responsibilities, requirements, technologies, and benefits associated with this position.

Responsibilities

• Design, build, and maintain production-grade ETL/ELT pipelines and big data infrastructure supporting OTS operational intelligence.
• Create feature engineering workflows and ML-ready data pipelines that enable Data Science experimentation and production model serving.
• Contribute to data governance and quality standards across analytical and ML data products.
• Support the implementation of GenAI solutions for automated reporting, diagnostics, predictive, and prescriptive analytics.
• Develop semantic layers and dashboard data models that power worldwide operations business selections.
• Partner with Program Managers, BI teams, ML Engineers, Data Scientists, and operational stakeholders to prioritize work aligned with OTS business goals.
• Follow and contribute to best practices for data engineering, including code reviews, testing, monitoring, and documentation.

Requirements

• 3+ years of data engineering experience.
• 1+ year of developing and operating large-scale BI data structures using ETL/ELT processes.
• 1+ year of developing and operating large-scale BI data structures using OLAP technologies.
• 1+ year of developing and operating large-scale BI data structures using data modeling.
• 1+ year of developing and operating large-scale BI data structures using SQL.
• 1+ year of developing and operating large-scale BI data structures using Oracle.
• Experience with data modeling, warehousing, and building ETL pipelines.
• Master's degree in computer science, engineering, analytics, mathematics, statistics, IT or equivalent.

Technologies

• Amazon Redshift
• Amazon S3
• AWS Glue
• AWS EMR
• Amazon Kinesis
• Amazon Kinesis Data Firehose
• AWS Lambda
• IAM (Identity and Access Management)
• SQL
• Oracle

Benefits

• Medical, Dental, and Vision Coverage
• Maternity and Parental Leave Options
• Paid Time Off (PTO)
• 401(k) Plan