Data Governance Lead

ROLES AND RESPOSIBLITIES -

• Design, develop, and maintain scalable data pipelines using Python, SQL, PySpark, and Databricks.
• Develop and manage Apache Airflow DAGs for workflow orchestration and optimize federated SQL queries using Starburst Trino.
• Ensure data quality, performance optimization, and reliable ETL processes while collaborating with cross-functional teams.

Preferred Candidate Profile: Candidate with 410 years of experience in Data Engineering, with strong hands-on expertise in Python, SQL, Databricks, Starburst Trino, Apache Airflow, and ETL pipeline development.