Data Engineer

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 Data Engineer designs, builds and optimizes Azure data pipelines and lakehouse solutions that deliver secure, reliable datasets for analytics. Responsibilities include developing and supporting ingestion and transformation pipelines, working with Azure Data Factory, Databricks, PySpark and SQL, implementing medallion or comparable layered data architecture, and managing structured and semi-structured data in cloud storage. The engineer improves job and query performance, implements reusable transformations and data models, validates data quality, handles orchestration and scheduling, and documents lineage and operational procedures. The role works with analysts, data scientists and application teams to define reliable interfaces and production service levels. It expects experience with ETL and ELT, distributed processing, Delta Lake or similar lakehouse formats, data warehouses, security and access controls, version control and CI/CD. The engineer should be able to troubleshoot pipeline failures, optimize cost and scale, implement monitoring and recovery, and communicate designs and trade-offs to both engineering and business stakeholders.