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Popular Data Engineer title, metro Chennai/Bengaluru location, and common mid-level skillset drive high competition.
Core ETL and data platform skills (Airflow, PySpark, Snowflake) are highly transferable across industries.
Multiple mandatory technologies (Airflow, PySpark, Snowflake, Hive) increase filtering despite no explicit years requirement.
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Develop and maintain data pipelines and ELT processes using Apache Airflow, Python, PySpark, Hive(Trino), SQL, and Snowflake to ensure efficient, reliable data delivery.
Design and implement custom connectors for ingesting structured and unstructured data from diverse sources.
Build and manage CI/CD pipelines for automated data integration, transformation, and deployment, including monitoring and troubleshooting data workflows.
Proficient in Apache Airflow, Python, PySpark, Hive(Trino), SQL, and Snowflake.
Experience in designing and maintaining data pipelines and ELT processes.
Work Experience Required: Not explicitly mentioned in the JD.
Ability to design and implement data CI/CD pipelines and custom data connectors.
Experienced in working with diverse data sources including unstructured document formats.
Skilled in operational monitoring and troubleshooting of large-scale data integration workflows.
Capable of collaborating with cross-functional teams to translate data requirements into technical solutions.