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Job Description & How to Apply Below
Dear Candidates,
Greetings from TCS!!!
TCS is looking for Informatica ETL Developer
Experience:
5-8 years
Location:
PAN India
Required Technical Skill Set:
Informatica ETL Developer
Must have skill:
Experience in ETL development with Informatica Power Center (experience with BDM/CDI preferred).
Strong knowledge of PL/SQL, Greenplum, and data warehousing concepts.
Hands-on experience with Hadoop ecosystem (HDFS, Hive) and Spark for big data processing.
Familiarity with Kafka and real-time streaming ETL.
Experience with Unix/Linux scripting, scheduling tools, and workflow automation.
Understanding of data governance, metadata management, and compliance (GDPR, PII masking).
Good to have:
Exposure to cloud-native ETL architectures and containerization (Kubernetes) is a plus.
Roles and responsibilities:
The Senior Informatica ETL Developer will design, develop, and optimize ETL workflows to support enterprise data ecosystem, which includes Greenplum Data Warehouse , HDFS-based Data Lake , and real-time streaming pipelines . This role ensures efficient data integration, high performance, and compliance with governance standards while enabling analytics and BI platforms such as Micro Strategy, Power BI, and Tableau.
Design, develop, and maintain ETL workflows using Informatica Power Center and Informatica BDM/CDI for batch and streaming data ingestion.
Integrate data from structured, semi-structured, and unstructured sources into Greenplum Data Warehouse and HDFS Data Lake .
Collaborate with data architects, BI teams, and data governance teams to ensure alignment with architecture and compliance requirements.
Implement error handling, logging, recovery mechanisms , and data quality checks .
Perform performance tuning of ETL processes, SQL queries, and optimize for MPP engines .
Support metadata management and lineage using Informatica EDC .
Provide production support , troubleshoot ETL failures, and ensure pipeline observability.
Contribute to real-time data integration leveraging Kafka and streaming frameworks.
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