Found 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
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