Found Description
Key Responsibilities
- Design, develop, and maintain data pipelines that ingest, transform, and load large volumes of infrastructure data using Python and SQL.
- Collaborate with data scientists and product teams to understand data requirements and deliver clean, well‑documented datasets.
- Implement and monitor Airflow DAGs to automate ETL processes and ensure data quality and reliability.
- Utilize AWS services (S3, Redshift, Glue) to build scalable, cost‑effective data storage and processing solutions.
- Perform data profiling, validation, and performance tuning to optimize query execution and pipeline throughput.
Requirements
- Bachelor’s degree in Computer Science, Engineering, or related field.
- Proficiency in Python, SQL, and experience with data pipeline frameworks.
- Hands‑on experience with AWS data services and Airflow orchestration.
- Strong analytical skills and ability to trouble...
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