Job Description
Key job responsibilities
Design, build, and operate highly scalable, fault-tolerant data processing systems using modern AWS services like Redshift, S3, Glue, EMR, Kinesis, Lambda, and orchestration systems using Airflow. Leverage expertise in Python, Scala, or other modern programming languages to develop custom data processing frameworks and automation tools. Collaborate closely with data scientists, analysts, and product managers to understand business requirements and translate them into technical solutions. Continuously optimize data pipeline performance, reliability, and cost‑efficiency using best practices in CI/CD and infrastructure‑as‑code. Mentor junior engineers and share knowledge of data engineering best practices. Stay up‑to‑date with the latest big data technologies and architectural patterns, and drive the adoption of innovative solutions. About the team
Promotions reinforce a positive perception of Amazon’s price leadership with shoppers by complement...
Design, build, and operate highly scalable, fault-tolerant data processing systems using modern AWS services like Redshift, S3, Glue, EMR, Kinesis, Lambda, and orchestration systems using Airflow. Leverage expertise in Python, Scala, or other modern programming languages to develop custom data processing frameworks and automation tools. Collaborate closely with data scientists, analysts, and product managers to understand business requirements and translate them into technical solutions. Continuously optimize data pipeline performance, reliability, and cost‑efficiency using best practices in CI/CD and infrastructure‑as‑code. Mentor junior engineers and share knowledge of data engineering best practices. Stay up‑to‑date with the latest big data technologies and architectural patterns, and drive the adoption of innovative solutions. About the team
Promotions reinforce a positive perception of Amazon’s price leadership with shoppers by complement...