Databricks Developer

15 hours ago

Bengaluru, Karnataka, India Ubique Systems Full time ₹ 10,00,000 - ₹ 20,00,000 per year

Location- Bangalore

Immediate joiner

Budget-20 LPA

Experience- 5 + Years

We are seeking an experienced
Databricks Developer
with strong SQL skills and hands-on experience using
Microsoft Copilot
(or equivalent AI-assisted development tools). The ideal candidate will be responsible for designing, developing, and optimizing data pipelines, supporting analytics workloads, and improving overall data engineering efficiency through automation and AI-driven solutions.

Key Responsibilities

  • Design and implement scalable data pipelines and ETL workflows using
    Azure Databricks
    or similar platforms.
  • Develop and optimize complex
    SQL queries
    , procedures, and performance tuning for large datasets.
  • Leverage
    Copilot
    or similar AI-based coding assistants to accelerate code generation, debugging, and documentation.
  • Integrate Databricks with
    Azure Data Lake, Synapse, and other cloud data services
    .
  • Collaborate with data scientists, analysts, and business stakeholders to deliver reliable data solutions.
  • Ensure data quality, governance, and security best practices.
  • Participate in code reviews and continuous improvement initiatives.

Required Skills and Experience

  • 5–8 years of hands-on experience in
    Data Engineering
    or related roles.
  • Strong expertise in
    Databricks
    ,
    PySpark
    , and
    SQL
    .
  • Experience with
    Azure
    or
    AWS cloud environments
    .
  • Familiarity with
    AI-assisted coding tools
    like
    Copilot
    ,
    CodeWhisperer
    , or
    ChatGPT for coding
    .
  • Solid understanding of data modeling, performance tuning, and distributed computing concepts.
  • Experience integrating with
    data orchestration tools
    (e.g., Airflow, Azure Data Factory).
  • Excellent problem-solving and analytical skills.

Preferred Qualifications

  • Knowledge of
    Delta Lake
    ,
    Unity Catalog
    , and
    Lakehouse architecture
    .
  • Exposure to
    CI/CD
    and
    DevOps
    practices in a data environment.
  • Familiarity with
    Python
    ,
    Scala
    , or
    SQL-based transformations
    .
  • Strong communication and collaboration abilities in an agile team environment.

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