Job Description

Roles & responsibilities

  • Contribute to the development of data ingestion, transformation, and integration pipelines on Azure
  • Support the implementation of ETL/ELT workflows using Azure Data Factory, Synapse, Databricks, and other Azure-native services
  • Participate in building and maintaining data lakes, data warehouses, and analytical datasets
  • Work with senior team members to understand client requirements and translate them into technical tasks


Educational Qualifications

  • A bachelor’s or master’s degree in Engineering, Computer Science, or equivalent
  • Relevant Azure Certifications (Azure Data Fundamentals(DP-900), Azure Fundamentals(AZ-900), Fabric Data Engineer Certificate (DP-700, preferred but not mandatory)


Work Experience

  • 3-6 years of experience in data engineering, data integration, or cloud analytics
  • Hands-on...

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