Azure Data Engineer

4 - 7 years

10 - 15 Lacs

Posted:None| Platform: Naukri logo

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Work Mode

Hybrid

Job Type

Full Time

Job Description


JOB TITLE: AZURE DATA ENGINEER

EXPERIENCE: 4+ YEARS

LOCATION: HYDERABAD

SHIFT: 2PM 11 PM

EMPLOYMENT: FULL TIME

Job Summary:

Azure Databricks Engineer

Key Responsibilities:

  • Design, develop, and maintain scalable data pipelines in

    Azure Databricks (PySpark/Scala)

  • Integrate data from various structured and unstructured data sources into Azure data lake and warehouse solutions
  • Work with

    Azure Data Factory (ADF)

    to orchestrate and schedule ETL/ELT workflows
  • Optimize existing Spark-based workflows for performance and cost-efficiency
  • Collaborate with data scientists, analysts, and business stakeholders to understand data needs
  • Implement data governance, quality checks, and monitoring systems
  • Support CI/CD pipelines for data engineering workflows using DevOps best practices
  • Troubleshoot and resolve data-related technical issues

Required Skills & Experience:

  • Proven experience with

    Azure Databricks

    (Spark, Delta Lake)
  • Proficiency in

    PySpark

    or

    Scala

  • Strong hands-on experience with

    Azure Data Factory (ADF)

    ,

    Azure Data Lake Storage (ADLS)

    ,

    Azure Synapse Analytics

  • Understanding of

    distributed computing

    ,

    data partitioning

    , and

    performance tuning

    in Databricks
  • Experience with

    CI/CD pipelines

    , version control (e.g., Git), and

    Infrastructure as Code (IaC)

    using tools like Terraform or ARM
  • Solid understanding of

    data warehousing

    ,

    ETL/ELT

    , and

    data modeling

  • Knowledge of

    SQL

    and familiarity with relational and NoSQL databases
  • Familiarity with

    data governance

    tools like

    Purview

    ,

    Unity Catalog

    , or similar

Preferred Qualifications:

  • Microsoft Azure or Databricks certifications (e.g.,

    Databricks Certified Data Engineer Associate

    )
  • Experience working in Agile environments
  • Exposure to real-time data streaming tools (e.g., Kafka, Event Hubs)
  • Experience with BI tools like Power BI

Educational Requirements:

  • Bachelor’s or Master’s degree in Computer Science, Information Technology, Engineering, or related field

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