Azure Data Engineer

6 - 11 years

10 - 20 Lacs

Posted:4 hours ago| Platform: Naukri logo

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Work Mode

Remote

Job Type

Full Time

Job Description

Key Responsibilities

  • Design, build, and maintain

    ETL pipelines

    using Azure Data Factory (preferably Fabric Data Factory) and SQL.
  • Write and optimize

    complex SQL logic

    to ensure performance and scalability across large datasets.
  • Ensure

    data quality, monitoring, and observability

    with restartability, idempotency, and debugging principles in mind.
  • Enhance ETL processes with

    Python scripting

    where applicable.
  • Collaborate with business unit partners to translate requirements into effective data solutions.
  • Document workflows, standards, and best practices; mentor junior team members.
  • Implement

    version control

    (GitHub) and

    CI/CD practices

    across SQL and ETL processes.
  • Work with Azure components such as

    Blob Storage

    and integrate with orchestration tools.
  • Apply troubleshooting and performance-tuning techniques to improve data pipelines.

Required Skills & Experience

  • Strong hands-on

    SQL development

    with focus on integration, optimization, and performance tuning.
  • Proven experience with

    Azure Data Factory (ADF)

    , with preference for

    Fabric Data Factory

    .
  • Exposure to ETL/orchestration tools such as

    Matillion

    (preferred but not mandatory).
  • Proficiency in

    Python

    for ETL enhancements and automation.
  • Understanding of

    cloud platforms

    , particularly Microsoft Azure services.
  • Familiarity with

    version control (GitHub)

    and CI/CD in data environments.
  • Excellent

    communication and technical writing skills

    to engage with stakeholders.
  • Having Advanced Azure certifications would be a plus.

Technology & Skill Areas

  • Core:

    Azure Data Factory / Fabric Data Factory, SQL, Python
  • Secondary:

    Matillion, Azure Blob Storage
  • Skill Areas:

    Data Integration, Data Quality, Performance Optimization, Cloud Data Engineering

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