Data Integration Engineer (InformaticaCollibra)

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profile Job Location:

Chennai - India

profile Monthly Salary: Not Disclosed
Posted on: Yesterday
Vacancies: 1 Vacancy

Job Summary

We are looking for a highly skilled Data Integration Engineer with hands-on experience in Informatica ETL development and Collibra data governance. This role will drive end-to-end data integration and governance initiatives across enterprise systems ensuring seamless data flows high data quality and compliance with regulatory standards. The ideal candidate will combine technical expertise governance knowledge and leadership capabilities to support both data engineering and data governance functions.
Key Responsibilities:
  • Lead the design development and deployment of ETL pipelines using Informatica PowerCenter and/or Informatica Cloud.
  • Drive end-to-end data integration strategies across on-premise and cloud-based systems. Implement and manage Collibra workflows for data cataloging metadata management lineage and stewardship.
  • Define and enforce data integration and governance standards best practices and frameworks.
  • Ensure data quality consistency and integrity across systems using established data quality frameworks and tools.
  • Develop and maintain data models source-to-target mappings and technical documentation.
  • Collaborate with data architects business stakeholders and engineering teams to translate requirements into scalable solutions.
  • Support audit compliance and regulatory reporting (e.g. GDPR CCPA) through governance and lineage capabilities.
  • Mentor junior team members and coordinate with offshore teams to drive successful delivery.
Required Skills & Qualifications:
  • 6 years of experience in data integration ETL development or data engineering.
  • Strong hands-on experience with Informatica PowerCenter Informatica Cloud or similar ETL tools.
  • Strong hands-on experience with Collibra (data catalog lineage governance workflows) (must-have).
  • Solid experience with data quality frameworks tools and best practices.
  • Strong proficiency in SQL and data modeling (logical and physical).
  • Good understanding of data governance principles and regulatory compliance (e.g. GDPR CCPA).
  • Proven ability to lead discussions with technical and business stakeholders.
  • Excellent communication documentation and problem-solving skills.
Preferred Qualifications:
  • Experience working with cloud data platforms (AWS Azure or GCP).
  • Exposure to Snowflake Databricks or BigQuery.
  • Familiarity with Kubernetes or containerized environments.
  • Experience with Qlik / Qlik Replicate or similar data integration/BI tools.
  • Collibra certifications or formal training.
  • Knowledge of REST APIs data lineage tools or data fabric architecture.
Benefits:
  • Health Insurance Accident Insurance.
  • The salary will be determined based on several factors including but not limited to location relevant education qualifications experience technical skills and business needs.
Additional Responsibilities:
  • Participate in OP monthly team meetings and participate in team-building efforts.
  • Contribute to OP technical discussions peer reviews etc.
  • Contribute content and collaborate via the OP-Wiki/Knowledge Base.
  • Provide status reports to OP Account Management as requested.

About us:
At OP we help you harness the power of technology for maximum impact. A technology consulting and solutions company we offer advisory and managed services innovative platforms and staffing solutions across a wide range of fields including AI cybersecurity enterprise architecture and beyond. For nearly two decades weve been challenging the status quo of the consulting industry serving up fresh ingenious thinking through a radically lean structure. Together this strategy delivers unprecedented performance at an unparalleled pace for faster results that propel your business forward.
We are looking for a highly skilled Data Integration Engineer with hands-on experience in Informatica ETL development and Collibra data governance. This role will drive end-to-end data integration and governance initiatives across enterprise systems ensuring seamless data flows high data quality ...
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