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    Job · 16941241

    HYDERABAD · FULLTIME

    Azure Databricks-Data Engineer

    Infosys logo

    Infosys

    Hyderabad · onsite · Posted 41d ago

    Sourced fromNaukri
    Undisclosed2–5 yrsfulltimeHyderabad

    About a minute. You'll make an account on the way through.

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    Section · 01

    About this role

    Position: Data Bricks-Data Engineer

    Experience: 2 to 5 years

    Location: Hyderabad

    Employment Type: Full-Time


    Roles & Responsibilities


    • Design, develop, and maintain scalable data pipelines using Databricks.
    • Build and optimize ETL/ELT processes for large-scale data ingestion and transformation.
    • Develop Spark and PySpark applications for batch and real-time processing.
    • Implement Lakehouse architecture using Delta Lake.
    • Create and maintain data models, tables, and data warehouses.
    • Optimize Databricks jobs, Spark performance, and query execution.
    • Integrate data from multiple cloud and on-premises sources.
    • Ensure data quality, governance, and security standards.
    • Work with Unity Catalog for data governance and access management.
    • Automate deployments using CI/CD and Infrastructure as Code (Terraform).
    • Monitor and troubleshoot production data pipelines.
    • Collaborate with Data Scientists, BI Developers, and Business Stakeholders.
    • Support cloud migration and data modernization initiatives.

    Sourced from naukri

    Section · 02

    Skills

    Databricks LakeDatabricks EngineerDatabricks SQLDatabricks Workflow

    Section · Company

    About Infosys

    Infosys logo

    Infosys

    IT Services & Consulting

    323.6k+

    employees

    1981

    45 years old

    Bengaluru/Bangalore, Karnataka

    India

    About

    Infosys is a global leader in next-generation digital services and consulting.

    Industries

    IT Services & ConsultingConsulting

    Employee ratings

    48,765 reviews

    3.5/ 5

    Culture

    3.6

    Career growth

    2.6

    Work-life

    3.6

    Employees rate it well for

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    Azure Databricks-Data Engineer · waiting for your command