Databricks Developer

Kumaran Systems has delivered enterprise technology services since 1992 across banking, financial services, insurance, telecom, automotive and public-sector environments. The company describes its current engineering direction as cloud transformation, automation-first delivery and GenAI-enabled modernization. This is a full-time India role on a current first-party Zoho Recruit detail page. The application page exposes a role-specific public form with first name, last name, email, mobile, address, professional experience, education, skills and resume controls; sign-in is optional through a separate easy-apply control. Kumaran Systems states that it is an equal opportunity employer. The role designs, develops and optimizes scalable data pipelines and analytics solutions on Databricks. Responsibilities include building ETL and ELT workflows with Python, PySpark, Scala and SQL; processing large structured and unstructured datasets; implementing lakehouse, data-lake and data-warehouse patterns; using Delta Lake, Delta Live Tables and medallion architecture; optimizing Spark jobs, clusters, partitioning, caching and query performance; and integrating Databricks with cloud storage and services such as Azure Data Factory, ADLS Gen2 and AWS S3. The engineer implements data-quality checks, validation, monitoring, security, masking, lineage and governance, and automates workflows with Databricks Jobs, Airflow, Git and CI/CD tooling. The role collaborates with data engineers, analysts, data scientists and business stakeholders, documents architecture and operational workflows, and troubleshoots reliability and scale. Required experience includes Databricks, Apache Spark, advanced SQL, scalable pipeline construction, cloud data platforms and modern data modelling. Useful additional experience includes dbt, MLflow, enterprise data governance and orchestration.