Oversee scalable data pipelines: design and maintain.
Ensure data quality and governance for accuracy and compliance.
ETL development: build and optimize pipelines ingesting and delivering data.
Workflow orchestration: manage workflows with Apache Airflow.
Leverage Trino/Presto and Apache Spark for data processing.
Collaborate with engineering, product, and business teams to drive data decisions.

🎯 Requirements

6+ years in data management, governance, and pipelines.
5+ years with Airflow, Iceberg, and AWS (S3/Lambda/Redshift).
5+ years building ETL pipelines in Python.
5+ years with Trino/Presto and Apache Spark.
Strong data modeling, warehousing concepts, and schema design.
Leadership: mentor teams and drive data initiatives.
Excellent communication with technical and non-technical stakeholders.
Bonus: Looker or Tableau for visualization.

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