Responsibilities: architect ETL pipelines, manage data warehouses and lakes, ensure data quality, automate provisioning, monitor performance, and collaborate with engineers and data scientists. Technologies: SQL, Python, Spark, Kafka, Airflow, cloud (AWS/GCP/Azure).

Qualifications: 3+ years in data engineering or infrastructure, strong software engineering skills, experience with distributed systems, and a focus on security and reliability.

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