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Data Engineer – Informatica IDMC (IICS)

Doha, Qatar
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.

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