Databricks Data Engineer.
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 firm in the accounting and finance industry, known for its innovative solutions and commitment to technological advancement. They operate on a large scale, serving a diverse international clientele. The company fosters a culture of continuous learning and professional growth, encouraging employees to work with cutting-edge technologies.
About the role.
We are seeking a skilled Databricks Data Engineer with 4-7 years of experience to join a dynamic team. This role involves building scalable data pipelines and modern data platforms using the latest Databricks features. You will be instrumental in developing robust data solutions, ensuring data quality, and optimizing performance.
What you will do.
- Develop and maintain scalable data pipelines using Databricks, PySpark, and SQL
- Build batch and streaming pipelines using Auto Loader and Structured Streaming
- Implement data transformations using Delta Live Tables
- Work with Unity Catalog for governance and access management
- Optimize Databricks jobs for performance and scalability
- Collaborate with business and technical teams to deliver data solutions
- Ensure data quality, reliability, and production support
- Follow best practices in coding, deployment, and monitoring
What you bring.
- 4-7 years of experience in Data Engineering / Big Data
- Strong hands-on experience in Databricks
- Strong coding skills in Python, PySpark, and SQL
- Experience building ETL/ELT pipelines
- Hands-on experience with Delta Lake
- Experience with Unity Catalog, Delta Live Tables (DLT), Auto Loader, Databricks Workflows / Lakeflow
- Knowledge of Structured Streaming
- Good understanding of Lakehouse architecture
- Experience on AWS / Azure
- Strong experience in Spark performance tuning / optimization
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