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Metro Lead data engineer role with common Airflow/PySpark/Snowflake stack yields moderate competition.
Core data engineering skills (Airflow, PySpark, Snowflake) transfer easily across industries.
Must-have Apache Airflow, PySpark, Snowflake and connector experience indicates strict technical filtering.
Develop and maintain robust data pipelines and ELT workflows using Apache Airflow, Python, PySpark, Hive (Trino), SQL, and Snowflake.
Design and implement custom data connectors and automated CI/CD pipelines for efficient data ingestion, transformation, and deployment.
Monitor, troubleshoot, and validate data workflows to ensure accuracy, reliability, and compliance across diverse structured and unstructured data sources.
Strong expertise in Apache Airflow, Python, PySpark, Hive (Trino), SQL, and Snowflake.
Experience in building and maintaining complex data pipelines and ELT processes.
Work Experience Required: Not explicitly mentioned in the JD.
Not explicitly mentioned: notice period or mandatory location preference beyond Chennai/Bengaluru presence.
Experienced in designing scalable data engineering solutions involving multiple data formats and sources.
Skilled at collaborating with cross-functional teams to translate data requirements into technical implementations.
Proficient in establishing and maintaining automated CI/CD processes within data engineering workflows.