Senior Data Engineer – Databricks

6 years

0 Lacs

Posted:4 days ago| Platform: Linkedin logo

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Work Mode

On-site

Job Type

Full Time

Job Description

Position Name : Senior Data Engineer – Databricks

Location : Pune / Hyderabad / Bengaluru

Experience : Min 6 to 10 years


About Jade Global

Jade Global is a premier global IT services and solutions firm committed to helping clients drive business transformation through enterprise applications, AI/ML, cloud platforms, automation, and managed services. As a trusted partner for industry leaders across Hi-Tech, Healthcare, Manufacturing, and Financial Services, we bring deep domain knowledge, agility, and a relentless focus on client success.


About Position

Senior Data Engineer – Databricks


Key Responsibilities:

  • Design, develop, and implement

    scalable ETL/ELT data pipelines

    using

    Apache Spark on Databricks

    .
  • Build, optimize, and manage

    data lakes and data warehouses

    using

    Delta Lake

    and related technologies.
  • Develop, schedule, and monitor workflows using

    Databricks Workflows, Airflow

    , or other orchestration tools.
  • Collaborate with

    data scientists, analysts, and business stakeholders

    to understand requirements and deliver robust data solutions.
  • Tune and optimize

    Spark jobs

    for performance, scalability, and cost efficiency.
  • Implement

    CI/CD pipelines

    and follow

    DevOps best practices

    for data engineering projects.
  • Ensure

    data security, governance, and compliance

    using tools such as

    Unity Catalog

    .
  • Troubleshoot and resolve issues related to

    data ingestion, transformation, and integration

    .
  • Participate in

    data platform migration initiatives

    , including migrations from:
  • On-premise or Hadoop platforms
  • Legacy ETL tools
  • Other cloud or data warehouse platforms to Databricks
  • Mentor junior engineers and contribute to

    technical excellence, best practices, and innovation

    within the team.


Required Skills & Experience:

  • Bachelor’s or Master’s degree in

    Computer Science, Engineering, or a related field

    .
  • 6+ years

    of hands-on experience in

    Data Engineering / Big Data development

    .
  • 3+ years

    of strong experience with

    Databricks

    , including

    Apache Spark, Delta Lake, and MLflow

    .
  • Strong programming skills in

    Python and SQL

    .
  • Solid understanding of

    distributed systems

    and

    Spark performance tuning

    .
  • Hands-on experience with cloud platforms:

    Azure, AWS, or GCP

    (Azure Databricks preferred).
  • Experience working with

    structured, semi-structured, and unstructured data

    .
  • Familiarity with

    DevOps practices

    , including:
  • Git-based version control
  • CI/CD pipelines
  • Infrastructure as Code (Terraform, ARM templates)
  • Strong problem-solving abilities and capability to explain

    complex technical concepts to non-technical stakeholders

    .
  • Proven experience in

    Databricks migration projects

    is highly desirable.


Behavioral & Soft Skills:

  • Ability to thrive in a

    fast-paced, client-facing environment

    with high delivery expectations.
  • Strong leadership and interpersonal skills.
  • Eager to contribute to a

    collaborative, team-oriented culture

    .
  • Excellent prioritization and multitasking skills with a proven track record of meeting deadlines.
  • Creative and analytical approach to problem-solving.
  • Strong verbal and written communication skills.
  • Adaptable to new technologies, environments, and processes.
  • Comfortable managing ambiguity and solving undefined problems.


Why Jade Global?

  • Award-winning enterprise partner (Oracle, Salesforce, ServiceNow, Boomi, and more)
  • Diverse global culture with over 2,000 employees
  • High-growth environment with opportunities for innovation and leadership
  • Hybrid work flexibility and inclusive leadership culture

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Jade Global

Information Technology and Services

San Diego

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