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Metro location and a common data/ETL role increase applicant competition but company is not Tier-1.
ETL and data engineering skills transfer across industries but enterprise Informatica tooling adds moderate specialization.
Mandatory ETL/Informatica expertise, production support and on-call requirements raise filtering rigor.
Provide 24/7 production and on-call support for ETL platforms, primarily Informatica and related tools.
Design, develop, and optimize automated data pipelines ensuring data ingestion and integration from multiple sources with data validation and quality checks.
Collaborate with IT and business stakeholders to review data requirements, develop ETL processes, and resolve production issues to support data warehousing, integration, and reporting projects.
Proficient with ETL tools such as Informatica PowerCenter, Informatica Cloud, Syncsort DMX-h, and SSIS.
Strong knowledge of SQL, Unix/Linux shell scripting, and data warehousing ETL concepts including LakeHouse frameworks like Delta format and workflow creation.
Experience with data pipeline design, data transformation, and metadata management.
Work Experience Required: Not explicitly mentioned in the JD. Location: Chennai or other specified locations.
Experienced individual contributor with strong technical skills in ETL tools and automated data pipeline development.
Familiarity with data lake/databricks concepts, Pyspark, and enterprise scheduling tools like Control-M is a plus.
Able to independently manage production support and collaborate across IT and business teams to deliver scalable data integration solutions.