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About the Role

Data Engineer


Key Responsibilities

  • Design, develop, and maintain

    ETL/ELT pipelines

    to ingest, transform, and process large datasets from multiple sources.
  • Build and manage

    data lakes, data warehouses

    , and

    data marts

    using modern data platforms (e.g., AWS, Azure, GCP, Snowflake, Databricks).
  • Collaborate with data scientists, analysts, and business teams to deliver high-quality, reliable, and well-structured data.
  • Implement and maintain

    data quality, validation, and monitoring

    processes.
  • Optimize data workflows for

    scalability, performance, and cost efficiency.

  • Ensure

    data security and compliance

    with organizational and regulatory standards.
  • Contribute to the development of

    data models, schemas, and metadata management

    .
  • Stay current with emerging data technologies and recommend improvements to existing systems.


Required Qualifications

  • Bachelor’s or Master’s degree

    in Computer Science, Information Technology, Engineering, or a related field.
  • 4–8 years of hands-on experience

    as a Data Engineer or in a similar role.
  • Proficiency in SparkSQL, Databricks, Snowflake
  • Preferably in Pharma/Healthcare domain.


What We Offer

  • Competitive compensation and benefits package.
  • Opportunity to work with cutting-edge data technologies.
  • Collaborative, innovation-driven work culture.
  • Career growth through continuous learning and upskilling opportunities.

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