Databricks Developer

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.