About Position:

We are looking for an experienced Databricks Developer / Lead who can build, optimize, and maintain scalable data platforms and enterprise-grade data pipelines using Databricks and Spark technologies. The ideal candidate will have strong expertise in distributed data processing, performance tuning, Delta Lake architecture, and cloud-native data engineering solutions.

Role: Databricks Developer
Location: Pune
Experience: 7 to 12 Years
Job Type: Full Time Employment

What You'll Do:

Develop and maintain scalable ETL/ELT pipelines using Databricks, PySpark, SQL, and Notebooks.
Design and implement end-to-end data processing solutions using Delta Lake architecture.
Build and manage Bronze, Silver, and Gold layer data pipelines for enterprise data platforms.
Develop batch and real-time streaming solutions using Spark Structured Streaming.
Perform Spark performance tuning, workload optimization, and resource utilization improvements.
Optimize Databricks clusters, jobs, and infrastructure to improve performance and control operational costs.




Collaborate with data architects, business analysts, data scientists, and stakeholders to deliver scalable data solutions.
Ensure data quality, validation, reconciliation, and compliance with enterprise governance standards.
Integrate Databricks solutions with Azure, AWS, or GCP cloud-native services.
Implement and maintain CI/CD pipelines for automated deployment and release management.
Utilize Git and version control best practices for team-oriented development.
Monitor data jobs, troubleshoot failures, and resolve cluster and environment-related issues.
Support data lake modernization, cloud migration, and enterprise analytics initiatives.
Participate in architecture reviews, design discussions, and technical mentoring activities.
Drive best practices around scalability, reliability, observability, and operational excellence.

Expertise You'll Bring:

7 to 12 years of experience in Data Engineering, Analytics, Big

📌 Databricks Developer (Pune)
🏢 Persistent Systems
📍 Pune