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    Job · 11962920

    HYDERABAD · FULLTIME

    Data Engineer

    3shool Technology Consultants logo

    3shool Technology Consultants

    Hyderabad · onsite · Posted 65d ago

    Sourced fromNaukri
    ₹15.0L - ₹20.0L PA5–10 yrsfulltimeHyderabad

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

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    Section · 01

    About this role

    Key Responsibilities

    • Design and develop Fabric Pipelines for automated ingestion from APIs, files into OneLake.
    • Implement medallion architecture (Bronze Silver Gold) using Fabric Lakehouses and Warehouses, applying Delta Lake best practices, partitioning, and incremental load patterns.
    • Build dimensional (star schema) models in the Gold layer aligned to Student, Finance, HR, Learning, and Advising domains.
    • Develop and maintain the master orchestration framework, including dependency management, retry logic, error handling, and scheduled execution windows.
    • Implement data quality checks, validation rules, and reconciliation logic across layers; support certification of enterprise KPIs.
    • Configure Row-Level Security (RLS) and Object-Level Security (OLS) in collaboration with the BI and security teams.
    • Integrate with Microsoft Purview for metadata capture, lineage, classification, and business glossary alignment.
    • Support deployment pipelines across Dev Test Prod Fabric workspaces, including CI/CD via Git integration.
    • Collaborate with NWTC technical data stewards during sprint ceremonies, UAT, and hypercare.
    • Produce technical documentation: source-to-target mappings, pipeline runbooks, and operational handover materials.

    Required Qualifications

    • Bachelor's degree in Computer Science, Information Systems, Engineering, or related field.
    • 5+ years of data engineering experience, with at least 2 years building on Microsoft Fabric, Azure Synapse, or Azure Data Factory.
    • Hands-on expertise with OneLake, Lakehouse, Delta Lake, and Fabric Pipelines / Dataflows Gen2.
    • Strong SQL and PySpark / Spark SQL skills for large-scale transformation workloads.
    • Proven experience implementing medallion architecture and dimensional (Kimball-style) modeling.
    • Working knowledge of Power BI semantic models, DirectLake/Import modes, and dataset refresh orchestration.
    • Experience with source system integration patterns: REST APIs, OData, file-based ingestion, and CDC.
    • Familiarity with Microsoft Purview, Entra ID, and Fabric workspace security models.
    • Strong written and verbal communication; comfortable working directly with client stakeholders.

    Sourced from naukri

    Section · 02

    Skills

    Microsoft FabricPower BiSQLMicrosoft Azure

    Data Engineer · waiting for your command