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    Job · 18404271

    BENGALURU · FULLTIME

    Walk-in || Data Engineer(DataBricks)

    Coventine Digital logo

    Coventine Digital

    Bengaluru · onsite · Posted 33d ago

    Sourced fromNaukri
    Undisclosed9–14 yrsfulltimeBengaluru

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

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    Section · 01

    About this role

    Hello ,

    as discussed, we are pleased to inform you about a job opening with Coventine Digital Pvt. Ltd., with a deputation to our esteemed client, (Sandvik)-Work from Office.

    Position : Data Engineer with Databricks

    Experience : 9+years

    location ; Banglore

    mode of interview : F2F on Wednesday & Thursday September 23rd & 24th

    • Mode of Hiring: Third-party payroll / Contract to Hire (C2H)
    • Mode of Working: Full-time, Work from Office

    If you are comfortable with the details above and interested in moving forward, please respond with the following information along with your


    JD:- Senior Data Engineer (Azure Databricks)

    Required Skills:

    • 6+ years of experience in Databricks(important)
    • can work with onsite team to colobrate and understand the E2E requirement
    • Strong PySpark and Python development experience
    • Azure Cloud Services (ADF, ADLS, Azure Blob Storage, Key Vault, etc.)
    • Experience with data ingestion, connectors, and integration frameworks
    • SQL and performance tuning expertise
    • Experience building scalable data pipelines
    • Good communication and stakeholder management skills
    • Knowledge about data architect and DWH concept these are primary point

    Responsibilities:

    • Lead design and architecture of large-scale data infrastructure and pipelines (Data Lakehouse).
    • Transform complex business requirements into automated, secure data solutions (ETL/ELT) primarily in Azure.
    • Optimize data storage and compute costs across Databricks clusters and Data Lake.
    • Troubleshoot and resolve production pipeline failures and data quality issues.
    • Drive best practices in data governance, security, and pipeline reliability.
    • Mentor and coordinate with global teams (data scientists, analysts, operations).

    Sourced from naukri

    Section · 02

    Skills

    Data LakeDatabricks EngineerPysparkData EngineeringPythonData WarehousingAzure Data FactoryAzure Data LakeETL

    Walk-in || Data Engineer(DataBricks) · waiting for your command