7 - 12 years

0 - 3 Lacs

Posted:-1 days ago| Platform: Naukri logo

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Job Type

Full Time

Job Description

Role - Azure Data Engineer

Location - Bangalore

Experience - 6-12 Years

Senior Azure Data Engineer

Key Responsibilities

  • Data Engineering & Architecture

    • Design and implement scalable data pipelines using

      Databricks Delta Live Tables (DLT)

      ,

      Structured Streaming

      , and

      PySpark

      .
    • Develop and optimize

      real-time and batch data processing

      solutions for high-volume datasets.
    • Manage and enhance

      Unity Catalog

      for secure and efficient data governance.
    • Build and maintain data integration workflows leveraging

      Azure Data Factory (ADF)

      ,

      Azure Data Lake Storage (ADLS)

      , and

      Azure Synapse Analytics

      .
    • Implement

      Stream Analytics

      for real-time event processing and analytics.
  • Performance Optimization

    • Fine-tune

      Databricks clusters

      , caching strategies, and partitioning for optimal performance.
    • Ensure cost-effective and high-performing data solutions aligned with business SLAs.
  • Data Quality & Security

    • Enforce data quality standards, lineage, and governance using

      Unity Catalog

      and Azure-native tools.
    • Implement robust security measures, including RBAC, encryption, and compliance frameworks.
  • Leadership & Collaboration

    • Lead cross-functional teams to deliver strategic data initiatives.
    • Act as a trusted advisor to stakeholders, providing technical guidance and actionable insights.
    • Communicate effectively with executives and business leaders to align data solutions with organizational goals.

Required Skills & Qualifications

  • Technical Expertise

    • Deep experience with

      Databricks DLT

      ,

      Structured Streaming

      ,

      PySpark

      ,

      Python

      , and

      SQL

      .
    • Strong knowledge of

      Azure Data Services

      : ADF, ADLS, Synapse, Stream Analytics.
    • Proven ability to optimize

      Databricks

      and

      Unity Catalog

      for high-volume, real-time data processing.
  • Leadership & Communication

    • Exceptional stakeholder management and executive communication skills.
    • Demonstrated ownership, accountability, and passion for delivering impactful solutions.
    • Ability to lead and mentor teams, driving innovation and best practices.
  • Preferred

    • Experience with

      CI/CD for data pipelines

      using Azure DevOps.
    • Familiarity with

      data governance tools

      like Azure Purview.
    • Relevant certifications:

      DP-203 (Azure Data Engineer Associate)

      ,

      AZ-104

      ,

      AZ-305

      .

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