Databricks Data Engineer - Pune District - Ascendion

    Ascendion
    Ascendion Pune District

    5 days ago

    ₹1,200,000 - ₹3,000,000 (INR) per year *
    Description

    Job Title: Senior Data Engineer

    Experience : 4+ years

    Location: Gurgaon /Pune / Bangalore

    Skills : Databricks , Delta Lake, PySpark , SQL

    Desired Skills and Experience:


    • 3–5 years of experience in data engineering, preferably with Azure Databricks.


    • Strong technical expertise in PySpark, SQL, and Delta Lake.


    • Familiarity with Unity Catalog, data governance, and DevOps practices (Git, CI/CD).


    • Ability to work independently as well as collaboratively within an agile delivery team.


    • Excellent problem-solving, debugging, and communication skills.

    Key Responsibilities:


    • Design, develop, and optimize data pipelines using Databricks, PySpark, Delta Lake, and related Azure components.


    • Work across pipeline development, data modeling, and production code optimization, ensuring scalability and performance.


    • Build new pipelines from scratch as well as enhance and maintain existing ones.


    • Apply strong understanding of ETL design principles, data modeling concepts, and data governance standards.


    • Collaborate within a scrum team, taking ownership of assigned stories while independently delivering high-quality, production-ready code.


    • Demonstrate proficiency across PySpark, SQL, Delta Lake, Unity Catalog, and Databricks Workflows, with solid understanding of logic and data flow.


    • Work in Azure environments, leveraging tools like ADLS, ADF, and Synapse (as applicable).


    • Contribute inputs to architecture and design discussions where appropriate, while primarily focusing on hands-on development.


    • Troubleshoot data issues, perform root-cause analysis, and optimize performance for existing pipelines.

    * This salary range is an estimation made by beBee
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