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Chennai-based, common ETL/data role with broad toolset attracts many qualified applicants.
ETL and data platform skills are transferable across industries, though Informatica/mainframe experience favors legacy-enterprise environments.
Mandated Informatica/ETL, Databricks/PySpark and production support imply strict technical screening and on-call requirements.
Design, build, and optimize automated ETL data pipelines for data ingestion and integration across batch and real-time environments.
Provide production and 24/7 on-call support for Informatica and other ETL platforms, ensuring timely issue resolution and process improvements.
Collaborate with IT and business stakeholders to review data requirements, develop ETL processes, logical data models, and maintain documentation of pipeline configurations.
Proficiency in ETL tools: Informatica PowerCenter, Informatica Cloud, Syncsort DMX-h, and SSIS.
Experience with SQL, Unix/Unix Shell scripting, and data warehousing concepts including LakeHouse (Delta format, workflow creation).
Work Experience Required: Not explicitly mentioned in the JD.
Available to provide 24/7 production support including on-call duties.
Strong expertise as an individual contributor in ETL development and production support within enterprise data integration environments.
Experience with enterprise scheduling tools (e.g., Control-M) and familiarity with conceptual data modeling and metadata management.
Comfortable working across diverse teams including IT and business stakeholders to translate requirements into scalable ETL pipelines and data solutions.