Informatica Engineer – Data Integration & CDGC Specialist

About the role

Master Works is seeking an experienced Informatica Engineer with 4–6 years of experience to design, develop, and maintain data integration and ETL solutions using Informatica technologies. The role will be responsible for developing efficient data workflows, transforming and integrating data from multiple sources, ensuring data quality and accuracy, troubleshooting integration issues, and supporting data migration and data warehouse initiatives.

Key responsibilities

• Develop and configure CDGC (Cloud Data Governance and Catalog) solutions to support enterprise data cataloging, metadata management, data discovery, and governance requirements.
• Manage and administer CDGC, including configuration, maintenance, metadata ingestion, catalog management, and ongoing optimization.
• Configure and maintain data assets, metadata, business terms, classifications, and relationships within CDGC.
• Support data governance activities by ensuring data assets are properly cataloged, classified, documented, and aligned with governance standards.
• Perform metadata onboarding and integration from various data sources into CDGC.
• Monitor and troubleshoot CDGC-related issues and ensure the availability and reliability of governance and cataloging capabilities.
• Collaborate with data governance, data engineering, and business teams to ensure effective adoption and utilization of CDGC.

Required profile

• Bachelor's degree in Computer Science, Information Technology, Software Engineering, Data Engineering or a related field.
• 4–6 years of relevant experience in Informatica development and data integration.

Required skills

• Informatica PowerCenter and/or Informatica Intelligent Data Management Cloud (IDMC/IICS).
• Strong knowledge of ETL/ELT concepts and data integration methodologies.
• Proficiency in SQL and experience with relational databases such as Oracle, SQL Server, PostgreSQL.
• Experience with CDGC (Cloud Data Governance and Catalog) configuration and administration.
• Understanding of data warehousing concepts, data quality, validation and reconciliation.