Databricks Data Engineer

Job Title: Senior Data Engineer
Experience : 3+ years
Location: Gurgaon /Pune / Bangalore

Skills: PySpark, SQL, Databricks, AWS.

Role Summary:
We are looking for

3–4 experienced Databricks Developers

to support a fast-paced, high-impact data engineering initiative.

The ideal candidates should have hands-on expertise in building

scalable data pipelines using Databricks and AWS, along with strong SQL and Python skills.

Required Skill Set:
•

3–4 years of experience in Data Engineering
• Strong hands-on experience with

Databricks (Notebooks, Jobs, Workflows)
• P roficiency in PySpark and SQL
• Familiarity with

AWS services (S3, Glue, Lambda, etc.)
• Experience with

CI/CD tools

and version control (e.g., Git)
• Good understanding of

Delta Lake

and performance tuning

Key Responsibilities:
• Design and develop robust

ETL pipelines using Databricks (PySpark or SQL)
•

Work with large-scale datasets in cloud environments (preferably AWS)
•

Optimize data pipelines

for performance and cost efficiency
• Integrate data from multiple structured and unstructured sources
• Collaborate with data architects, analysts, and business stakeholders to understand requirements
• Implement data validation and quality checks
• Maintain proper documentation and version control for data workflows