Infosys
IDMC Developer
Skills
1 month ago
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Important information
Contract type:
Permanent
Location:
Bengaluru, Karnataka, India
Work mode:
Onsite
Published on:
14 September 2026
What they need
Educational Requirements
Bachelor of Engineering
Service Line
Data Analytics Unit
Responsibilities
- Design, develop, and implement data integration pipelines using IDMC
- Work with Cloud Data Integration (CDI) for ETL/ELT workflows
- Develop and maintain mappings, mappings tasks, and taskflows
- Integrate data from various sources including databases, cloud platforms, flat files, and APIs
- Implement data transformation, cleansing, and validation rules
- Work with Data Quality (CDQ) components for profiling and standardization
- Optimize jobs for performance, scalability, and reliability
- Monitor and troubleshoot data pipelines and workflows
- Ensure adherence to data governance, security, and compliance standards
- Collaborate with architects, analysts, and business stakeholders
- Support migration from PowerCenter or legacy ETL tools to IDMC
Additional Responsibilities
- Experience with Application Integration (CAI) in IDMC
- Exposure to API integrations (REST/SOAP)
- Knowledge of Master Data Management (MDM) concepts
- Familiarity with CI/CD pipelines and version control tools (Git, Jenkins)
- Experience with big data/cloud data platforms (Snowflake, BigQuery, Redshift)
- Basic scripting knowledge (Python, Shell scripting)
- Experience with data governance and lineage tools
- Bachelors degree in Computer Science, IT, or a related field
- Informatica certifications (IDMC / IICS / CDI / CDQ) are a plus
Technical and Professional Requirements
- Strong experience with Informatica Data Management Cloud (IDMC)
- Hands-on expertise in:
- Cloud Data Integration (CDI)
- Data Quality (CDQ)
- Strong understanding of ETL/ELT concepts and data integration techniques
- Proficiency in SQL and relational databases (Oracle, SQL Server, MySQL, etc.)
- Experience with mappings, taskflows, parameters, and reusable objects
- Knowledge of data validation, profiling, and cleansing techniques
- Familiarity with cloud environments (AWS / Azure / GCP)
- Understanding of data warehousing concepts (star and snowflake schemas)
- Experience in error handling, logging, and performance tuning
Preferred Skills
- Technology->Data Management - Data Integration->Informatica
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