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    Azure Databricks Engineer - Anywhere in India/Multiple Locations - Talent-Max Consultant

    Talent-Max Consultant
    Talent-Max Consultant Anywhere in India/Multiple Locations

    1 day ago

    Default job background
    permanent Technology / Internet
    Description
    Experience: 4-7 Years


    Location :
    Bhilai, Indore, Bangalore


    Job Description :
    We are seeking a skilled DataBricks Engineer to join our team.

    In this role, you will be responsible for engineering reliable data pipelines for sourcing, processing, distributing, and storing data in various ways using cloud data platform infrastructure.

    Your primary focus will be on developing data engineering techniques to automate manual processes and solve complex business problems. Additionally, you will ensure the highest level of data quality and validation checks within enterprise data lakes.


    Roles and Responsibilities :

    • Design and engineer reliable data pipelines for sourcing, processing, distributing, and storing data using cloud data platform infrastructure.
    • Develop data engineering techniques to automate manual processes and address challenging business problems.
    • Implement and maintain data quality and validation checks within enterprise data lakes.
    • Collaborate with crossfunctional teams to understand data requirements and deliver calable solutions.

    Qualifications :

    • Bachelor's degree in Computer Science, Engineering, or a related field.
    • 4+ years of experience working with Big Data Technologies such as Apache Spark, Kafka, and Data Lakes.
    • 2+ years of experience with Databricks capabilities related to data engineering (Legacy Migration, Delta Lake, Pipeline modernization).
    • Proficiency in writing code in either Python or Scala, with strong skills in SQL (stored procs & triggers, dynamic SQL, query optimization).
    • Handson experience with at least one of the leading public cloud data platforms (Azure / AWS / GCP).
    • Familiarity with data validation and quality frameworks, as well as data lineage frameworks.
    • Preferred: Databricks Certified Data Engineer Associate/Professional Certification.
    )
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