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    Job · 21313383

    PUNE · FULLTIME

    Senior Data Engineer

    Mergen Corporates

    Mergen Corporates

    Pune · hybrid · Posted 4d ago

    Sourced fromNaukri
    Undisclosed6–11 yrsfulltimePune

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    Section · 01

    About this role

    Data engineer

    Job Description for Profile:

    Location Mumbai/Pune/Bangalore

    Must Have

    • 7-10 Years Overall experience
    • Design and implement data pipelines using Microsoft Fabric (Data Factory, Dataflows, Synapse, Lakehouse).
    • Develop and optimize ETL/ELT processes for structured and unstructured data.
    • Manage and maintain data lakes, warehouses, and lake houses within Fabric.
    • Collaborate with data analysts, BI developers, and business stakeholders to deliver end-to-end analytics solutions.
    • Build and maintain Power BI datasets, reports, and dashboards integrated with Fabric.
    • Collaborate with business teams to translate requirements into data models and visualizations.
    • Ensure data quality, governance, and security across all data assets.
    • Monitor and troubleshoot data workflows, ensuring high availability and performance.
    • Automate workflows and contribute to CI/CD practices for data engineering.
    • Stay updated with emerging features in Microsoft Fabric and recommend adoption strategies.
    • Should have sound knowledge on database concepts like Entity-relationship, Data modeling, DDL and DML statements etc.
    • Advance knowledge of Azure SQL DB & Synapse Analytics, Power BI, SSIS, SSRS, T-SQL, Logic Apps
    • Should be able to analyze and understand complex data
    • Good experience in writing complex SQL queries, Analytical functions, Joins, Indexes, functions, and stored procedures.
    • Understanding of data lineage and good in building such frameworks
    • Works closely with all business units and engineering teams to develop strategy for long term data platform architecture
    • Experience in various data cleansing techniques
    • Understand business requirement and actively provide inputs from Data perspective
    • Understand the underlying data and flow of data.

    [email removed]


    LinkedIn iD- www.linkedin.com/in/navyadadi1630


    Sourced from naukri

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    Section · 02

    Skills

    FabricPysparkData EngineeringSQLAzure Data Factory

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