We are looking for a Senior Databricks Engineer with 7+ years of experience in data engineering and robust hands-on expertise in Databricks and Apache Spark. The ideal candidate will design and build scalable data pipelines, optimize large-scale data processing, and work with cloud-based data platforms.

Key Responsibilities

- Design, develop, and maintain scalable data pipelines using Databricks and Apache Spark.
- Develop and optimize PySpark/Spark jobs for large-scale data processing.
- Build reliable ETL/ELT pipelines using Databricks workflows, Delta Lake, and SQL.
- Implement data transformations, data quality checks, and performance optimization.
- Work with cloud data platforms such as AWS, Azure, or GCP.
- Optimize Spark jobs, cluster configurations, partitioning, joins, and data processing performance.
- Collaborate with data engineers, data scientists, analysts, and business teams to deliver data solutions.
- Implement best practices for CI/CD, version control, monitoring, and production support.




- Troubleshoot data pipeline and performance issues in production environments.

Required Skills

- 7+ years of experience in Data Engineering.
- Strong hands-on experience with Databricks.
- Strong expertise in Apache Spark / PySpark.
- Experience with Delta Lake, Databricks Workflows, and Spark SQL.
- Strong proficiency in Python and SQL.
- Experience building and optimizing large-scale ETL/ELT pipelines.
- Experience with at least one cloud platform: AWS, Azure, or GCP.
- Good understanding of data warehousing, data modeling, and distributed data processing.
- Experience with Git and CI/CD practices.

Preferred Skills

- Experience with Unity Catalog and Databricks governance.
- Experience with Azure Data Factory, AWS Glue, or similar orchestration tools.
- Knowledge of streaming technologies such as Kafka or Spark Structured Streaming.
- Experience with Infrastructure as Code or cloud automation.
- Databricks certifications are a plus.

📌 Senior Databricks Engineer (Chennai)
🏢 Numentica
📍 Chennai