Job Summary :
We are seeking a highly skilled Data Engineer with a minimum of 5 years of hands-on experience in Informatica Intelligent Data Management Cloud (IDMC or IICS) . The successful candidate will design, implement, and maintain scalable data integration solutions using Informatica Cloud services. Experience with CI / CD pipelines is required to ensure efficient development and deployment cycles. Familiarity with Informatica Catalog , Data Governance , and Data Quality is considered a strong advantage.
Key Responsibilities :
- Design, build, and optimize end-to-end data pipelines using Informatica IDMC (or IICS) , including Cloud Data Integration and Cloud Application Integration.
- Implement ETL / ELT processes to support data lakehouse, and EDW use cases.
- Develop and maintain CI / CD pipelines to support automated deployment and version control.
- Work closely with data architects, analysts, and business stakeholders to translate data requirements into scalable solutions.
- Monitor job performance, troubleshoot issues, and ensure compliance with SLAs and data quality standards.
- Document technical designs, workflows, and integration processes following best practices.
- Collaborate with DevOps and cloud engineering teams to ensure seamless integration within the cloud ecosystem.
Required Qualifications :
Bachelor’s degree in Computer Science, Information Systems, Engineering, or a related field.Minimum 5 years of hands-on experience with Informatica IDMC .Experience in building and deploying CI / CD pipelines using tools such as Git, or Azure DevOps.Proficient in SQL , data modeling, and transformation logic.Experience with cloud platforms (Azure or OCI).Strong problem-solving skills in data operations and pipeline performance.Preferred / Nice-to-Have Skills :
Experience with Informatica Data Catalog for metadata and lineage tracking.Familiarity with Informatica Data Governance tools such as Axon and Business Glossary.Hands-on experience with Informatica Data Quality (IDQ) for data profiling, cleansing.Experience developing data pipelines using Azure Data Factory.#J-18808-Ljbffr