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    Data Engineer - Delhi, India - HARP Technologies and Services

    HARP Technologies and Services
    HARP Technologies and Services Delhi, India

    3 days ago

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    Description

    Job Location : Pune & Hyderabad (Initial 1 -2 months hybrid and then complete remote job. Client will offer accommodation(stay), food & travel exp. )

    Exp range : 6+ years

    Shift timings : General 9am - 6pm IST or 10am - 7pm IST

    Mandatory skills : Data engineering (4+years), Databricks (3.5+ years), Pyspark (3+ years), Python (preferred) or bash, Data pipeline, Azure, ETL.

    Job Type :
    C2H long term (within 6 months based on your performance/cultural fit you might be onboarded by the end client as a permanent employee)

    We are seeking a skilled Data Engineer with 5+ years of experience specializing in DataBricks. The ideal candidate should have a robust understanding and hands-on expertise in PySpark and various components within DataBricks.


    As a crucial member of our data team, you will play a pivotal role in developing, optimizing, and maintaining our data infrastructure, ensuring seamless and efficient data processing.

    Responsibilities :


    • Design, develop, and maintain data pipelines using DataBricks and PySpark to process and manipulate large scale datasets.
    • Proven experience in optimizing Apache Spark batch processing workflows.
    • Extensive experience in building and maintaining streaming data pipelines.
    • Optimize and finetune existing DataBricks jobs and PySpark scripts for enhanced performance and reliability.
    • Troubleshoot issues related to data pipelines, identify bottlenecks, and implement effective solutions.
    • Implement best practices for data governance, security, and compliance within DataBricks environments.
    • Work closely with Data Scientists and Analysts to support their data requirements and enable efficient access to relevant datasets.
    • Stay updated with industry trends and advancements in DataBricks and PySpark technologies to propose and implement innovative solutions.
    • Demonstrated expertise in optimizing systems for lowlatency and highthroughput performance.
    • Proficiency in using Spark SQL and DataFrame API for dynamic data transformations.
    • Experience with using programming languages such as Python or Scala to implement advanced filtering logic in Databricks notebooks or scripts.
    • Familiarity with the principles of distributed systems and their application in message broking.
    • Collaborate with cross functional teams to gather requirements, understand data needs, and implement scalable solutions.
    Requirements :


    • Bachelor's or Master's degree in Computer Science, Engineering, or a related field.
    • 4 to 5 years of proven experience as a Data Engineer with a strong emphasis on DataBricks.
    • Proficiency in PySpark and extensive hands on experience in building and optimizing data pipelines using DataBricks.
    • Solid understanding of different components within DataBricks such as clusters, notebooks, jobs, and libraries.
    • Strong knowledge of SQL, data modeling, and ETL processes.
    • Ability to analyzxcellent communication skills with the ability to collaborate with cross functional teams.
    )
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