Posted on: 04/02/2026
Description :
We are seeking a highly skilled Senior Informatica Developer to join our data engineering team for a critical 6-month project.
The ideal candidate will have extensive experience in building robust ETL pipelines using Informatica PowerCenter and a deep understanding of data warehousing architecture.
Key Responsibilities :
- Design, develop, and maintain robust ETL pipelines using Informatica PowerCenter for efficient data processing and transformation.
- Collaborate with data architects and business stakeholders to understand data requirements and design scalable, optimized solutions.
- Handle large-scale data volumes, ensuring high performance and accurate data transformations across different sources and targets.
- Perform data profiling, data cleansing, and complex data transformations to ensure data quality and integrity.
- Optimize and troubleshoot existing ETL workflows to improve performance and scalability.
- Work with SQL and Unix/Linux Shell scripting to write complex queries, scripts, and automate ETL processes.
- Maintain and manage data warehousing architecture for data integration, storage, and access.
- Document ETL processes, workflows, and technical specifications for knowledge sharing and future reference.
- Ensure adherence to best practices in data engineering, ETL design, and data governance.
- Provide support for testing, debugging, and performance tuning of ETL jobs.
Required Skills & Qualifications :
- Minimum 6 years of hands-on experience in ETL development with Informatica PowerCenter.
- Strong proficiency in SQL for complex queries and data manipulation.
- Solid experience with Unix/Linux Shell scripting for automation of ETL tasks and troubleshooting.
- Proven track record of handling large-scale data volumes and designing complex data transformations.
- Excellent analytical and problem-solving skills, with the ability to break down and solve complex technical challenges.
- Ability to work independently and manage tasks efficiently in a remote work environment.
Preferred / Nice-to-Have :
- Experience with Informatica Cloud (IICS) for cloud-based ETL processes.
- Familiarity with Cloud platforms (AWS, Azure, GCP) and their integration with data solutions.
- Knowledge of Data Quality tools to ensure data accuracy and integrity across the pipeline.
- Exposure to Agile/Scrum methodologies for efficient project delivery and collaboration.
- Industry experience in Banking, Healthcare, or Retail sectors is highly desirable.
Work Hours : General IST (9 : 00 AM 6 : 00 PM)
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Posted in
Data Engineering
Functional Area
Data Engineering
Job Code
1609685