Databricks Developer.
This mandate is run by SYMPHONI HR, a Mumbai-based executive search firm, est. 2003. Applications are email-verified and reach the search team running the role — confidentially, always.
About the organisation.
Our client is a leading global professional services firm operating at the intersection of finance and technology. They are committed to delivering innovative data-driven solutions to complex business challenges across the healthcare sector. The organization fosters a collaborative, high-performance culture that values continuous learning and technical excellence.
About the role.
We are seeking a skilled Databricks Developer to join a dynamic team in bangalore. In this role, you will design and implement robust data pipelines and modern Lakehouse architectures to support critical business insights. You will leverage cutting-edge Databricks features to ensure high-performance data processing and governance.
What you will do.
- Develop and maintain scalable data pipelines using Databricks, PySpark, and SQL.
- Build and manage efficient batch and streaming pipelines utilizing Auto Loader and Structured Streaming.
- Implement complex data transformations and workflows using Delta Live Tables.
- Manage data governance, security, and access control through Unity Catalog.
- Optimize Databricks jobs and Spark performance to ensure scalability and cost-efficiency.
- Collaborate with cross-functional teams to deliver high-quality data solutions.
- Ensure data reliability and provide production support for critical data platforms.
- Follow industry best practices for coding, CI/CD deployment, and system monitoring.
What you bring.
- 6–8 years of professional experience in Data Engineering or Big Data development.
- Strong hands-on expertise in Databricks, Python, PySpark, and SQL.
- Proven experience in building and maintaining ETL/ELT pipelines.
- Deep knowledge of Lakehouse architecture, Delta Lake, and Unity Catalog.
- Experience with Delta Live Tables, Auto Loader, and Databricks Workflows.
- Proficiency in cloud platforms such as AWS or Azure.
- Strong background in Spark performance tuning and optimization.
- Prior experience in the healthcare domain is highly preferred.
- Databricks certification is considered a significant advantage.
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