Posted on: 23/12/2025
Description :
Key Responsibilities :
- Design, develop, and maintain ETL solutions using Informatica PowerCenter
- Understand end-to-end system landscapes, including upstream source systems and downstream target systems
- Interpret ETL technical specifications and implement scalable, optimized data pipelines
- Leverage Informatica transformations and features to deliver high-performance ETL solutions
- Work extensively with Oracle databases, including PL/SQL development
- Decode complex Oracle PL/SQL queries and rebuild or refactor functionality within ETL workflows
- Optimize SQL and ETL jobs for performance and reliability
- Develop and manage data integrations between Informatica and :
1. Oracle databases
2. SAP systems
3. Amazon Redshift
- Work in UNIX environments for scheduling, scripting, and job monitoring
- Build and manage API-based data integrations using Informatica
- Support enhancements and troubleshooting of existing data pipelines
- Collaborate with architects, business analysts, and downstream consumers
- Support testing, deployment, and production support activities
- Work in Agile delivery environments and track work using tools like Jira Align
Mandatory Skills & Qualifications :
Technical Skills :
- 5- 7 years of strong hands-on experience in Informatica PowerCenter (PWC)
- Solid understanding of enterprise data landscapes
- Strong experience with Oracle database and PL/SQL development
- Ability to interpret and implement ETL technical specifications
- Experience with UNIX environments
Desired / Good-to-Have Skills :
- Exposure to SAP connectivity with Informatica
- Experience integrating Amazon Redshift with Informatica
- Knowledge of API processing using Informatica
- Exposure to Jira Align or Agile project management tools
Soft Skills :
- Strong analytical and problem-solving abilities
- Attention to detail and commitment to data quality
- Good communication and collaboration skills
What We Offer :
- Opportunity to work on complex, enterprise-scale data integration projects
- Exposure to modern data platforms and integration patterns
- Collaborative and growth-focused work environment
- Competitive compensation and career advancement opportunities
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Posted in
Data Engineering
Functional Area
Big Data / Data Warehousing / ETL
Job Code
1593914
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