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Posted:1 week ago| Platform: Naukri logo

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Job Type

Full Time

Job Description

Key Responsibilities

  • Design, build, and maintain scalable data pipelines using

    Databricks

    and

    Apache Spark

  • Integrate data from various sources into data lakes or data warehouses
  • Implement and manage

    Delta Lake architecture

    for reliable, versioned data storage
  • Ensure data quality, performance, and reliability through testing and monitoring
  • Collaborate with data analysts, scientists, and stakeholders to meet data needs
  • Automate workflows and manage job scheduling within

    Databricks

  • Maintain clear and thorough documentation of data workflows and architecture
  • Work on

    Databricks-based AI/ML solutions

    , including

    machine learning pipelines

    , in collaboration with data science teams

Requirements

  • Experience:

    3+ years in data engineering with strong exposure to

    Databricks

    ,

    AI/ML

    , and big data tools
  • Technical Skills:

    • Proficient in

      Python

      or

      Scala

      for ETL development
    • Strong understanding of

      Apache Spark

      ,

      Delta Lake

      , and

      Databricks SQL

    • Familiar with

      REST APIs

      , including

      Databricks REST API

  • Cloud Platforms:

    Experience with

    AWS

    ,

    Azure

    , or

    GCP

  • Data Modeling:

    Familiarity with

    data lakehouse concepts

    and

    dimensional modeling

  • Version Control & CI/CD:

    Comfortable using

    Git

    and pipeline automation tools
  • Soft Skills:

    Strong problem-solving abilities, attention to detail, and teamwork

Nice to Have

  • Certifications:

    Databricks Certified Data Engineer Associate/Professional

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