AI and DATA - Azure - Senior Professional

5 - 10 years

15 - 19 Lacs

Posted:1 week ago| Platform: Naukri logo

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Job Type

Full Time

Job Description

  • Design, develop, and optimize scalable data pipelines using Azure Databricks, PySpark, and related Azure services.
  • Lead and execute end-to-end data migration projects, including transitioning from on-premises ETL solutions (e.g., Informatica PowerCenter) to Azure cloud environments.
  • Integrate data from diverse sources into unified data architectures, ensuring data quality, integrity, and security.
  • Collaborate with cross-functional teams in agile environments to deliver high-performance, maintainable, and secure data solutions.
  • Implement and manage CI/CD pipelines using Azure DevOps for automated deployment and testing.
  • Perform data validation, requirement analysis, and support disaster recovery drills to ensure business continuity.
  • Provide technical expertise in healthcare or other regulated domains (preferred).

Required Skills & Experience

  • 5+ years of experience in ETL development and data engineering.
  • Strong hands-on experience with Azure Databricks, PySpark, and SparkSQL.
  • Proficiency in Informatica PowerCenter and Informatica Intelligent Cloud Services (IICS).
  • Solid understanding of SQL Server, Shell Scripting, and enterprise data management.
  • Experience with data migration from on-premises to cloud platforms.
  • Familiarity with Azure DevOps and CI/CD automation.
  • Excellent problem-solving, analytical, and communication skills.
  • Experience in healthcare data (e.g., CTMS, PBM) is a plus.
  • Certifications such as Databricks Certified Data Engineer Associate will be an added advantage.

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