Azure Data Engineer

17 hours ago

Pune, Maharashtra, India Neev Full time ₹ 12,00,000 - ₹ 36,00,000 per year

We are seeking a highly motivated and skilled
Azure Data Engineer
with 6+ years of hands-on experience in designing, developing, and maintaining secure and scalable data pipelines. The ideal candidate will have strong expertise in
Azure Data Factory, Synapse Analytics, and Databricks
, along with proven skills in
ETL development, data modeling, and automation
. You will play a critical role in enabling reliable and high-performance data solutions that power analytics and business insights across domains

Key Responsibilities

  • Design, develop, and optimize
    data pipelines
    using
    Azure Data Factory (ADF)
    .
  • Implement
    ETL processes
    and data modeling solutions to support seamless data integration.
  • Work with
    Azure Synapse Analytics
    and
    Databricks
    for large-scale data processing and advanced analytics.
  • Develop custom data processing logic using
    Python, PySpark, and SQL
    .
  • Collaborate with cross-functional teams in
    Agile environments
    to deliver end-to-end data solutions aligned with business goals.
  • Integrate external systems via
    Logic Apps
    and
    REST APIs
    for workflow automation.
  • Use
    Git and Azure DevOps
    for version control, CI/CD pipeline implementation, and automated deployments.
  • Ensure solutions are
    performance-tuned, secure, and reliable
    , supporting downstream reporting and analytics.

Required Skills & Experience

  • 3+ years of proven experience as a
    Data Engineer
    with expertise in Azure cloud services.
  • Proficiency in
    Azure Data Factory (ADF), Azure Synapse Analytics, and Databricks
    .
  • Strong background in
    ETL development, data modeling, and data integration
    from multiple sources.
  • Hands-on expertise in
    Python, PySpark, and SQL
    .
  • Experience with
    Logic Apps, REST APIs, Git, and Azure DevOps (CI/CD pipelines)
    .
  • Solid understanding of
    Agile methodologies
    and experience working with cross-functional teams.
  • Strong problem-solving, analytical, and communication skills.

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