Data Engineer Azure | Data Engineering and Azure Services

4 - 9 years

7 - 11 Lacs

Posted:2 weeks ago| Platform: Naukri logo

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Job Type

Full Time

Job Description

Required Relevant Experience 4+ years

Job Location Bengaluru or Goa or Gandhinagar Guj

We are seeking a skilled and motivated Data Engineer with 4+ years of hands-on experience in building and managing scalable data solutions. The ideal candidate should have strong expertise in Azure services, Azure Data Factory, ETL/ELT processes, data warehousing, and RBAC (Role-Based Access Control). You will be responsible for designing, implementing, and optimizing data pipelines and ensuring secure access to data platforms.

Key Responsibilities:


  • Design, develop, and maintain data pipelines using Azure Data Factory.

  • Implement ETL/ELT processes for structured and unstructured data.

  • Build and optimize data warehouses for analytics and reporting needs.

  • Integrate and manage data from multiple sources to ensure data quality, consistency, and reliability.

  • Work with Azure services (Data Lake, Synapse, Databricks, etc.) to deliver end-to-end data solutions.

  • Implement and maintain RBAC policies to ensure secure and compliant data access.

  • Collaborate with data analysts, data scientists, and business stakeholders to provide reliable datasets.

  • Monitor and troubleshoot pipelines, ensuring performance, scalability, and cost optimization.

Required Skills & Qualifications


  • 4+ years of experience in Data Engineering, with at least 2 end-to-end data warehouse or data lake projects.

  • Strong SQL expertise (complex queries, window functions, performance tuning).

  • Hands-on experience with Azure Data Services:

    • Azure Data Factory (ADF)

    • Azure Databricks (PySpark/Scala)

    • Azure Data Lake (Gen1/Gen2)

    • Delta Lake / Delta Tables

    • Synapse Analytics

    • Azure Key Vault, RBAC & security features



  • Good understanding of ETL/ELT tools such as Pentaho, dbt, or equivalent.

  • Knowledge of Big Data & distributed processing frameworks (Spark, optimization techniques).

  • Familiarity with version control & CI/CD for data pipelines (GitHub/Azure DevOps).

  • 1 2 years of Power BI hands-on experience.

  • Excellent communication, problem-solving, and leadership abilities



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