YOU WILL
- Design, develop, and maintain ETL/ELT pipelines using Informatica (IDMC / IICS / PowerCenter).
- Build and optimize data integration workflows, mappings, and transformations across multiple data sources.
- Integrate data from databases, APIs, and enterprise systems ensuring accuracy and consistency.
- Implement and support data quality rules, validation checks, and profiling processes using Informatica Data Quality (IDQ).
- Contribute to data governance initiatives, including data cataloging, lineage tracking, and metadata management.
- Work with Informatica IDMC modules such as:
- Data Integrations
- Data Quality (IDQ)
- Data Governance & Catalog
- Metadata Management
- Ensure data quality, consistency, and compliance across all data pipelines.
- Monitor, troubleshoot, and optimize data workflows and pipeline performance.
- Collaborate with business and technical teams to gather and translate data requirements into scalable solutions.
- Support data warehousing and analytics use cases by delivering clean and structured datasets.
- Participate in code reviews and enforce best practices in ETL development and data engineering.
- Document data flows, mappings, and technical specifications.
- Work with DevOps teams to support CI/CD and deployment processes for data pipelines.
Requirements
- TO BE SUCCESSFUL IN THE ROLE YOU NEED
Bacheloru2019s degree in Computer Science , Engineering, or a related field.
- 5+ years of experience in data engineering or ETL development.
- Strong hands-on experience with Informatica (IICS / IDMC / PowerCenter).
- Experience with Informatica Data Quality (IDQ) and data validation frameworks.
- Solid understanding of data governance concepts, metadata management, and data lineage.
- Strong proficiency in SQL and relational databases (Oracle, SQL Server, PostgreSQL, etc.).
- Good understanding of data warehousing concepts (star schema, snowflake schema).
- Experience with data integration, transformation, and data quality processes.
- Familiarity with REST APIs and data ingestion techniques.
- Experience with CI/CD tools and version control systems (Git).
- Strong analytical and problem-solving skills with attention to detail.
- Excellent communication and collaboration skills.
