Roles & Responsibilities Lead the analysis and migration of legacy SQL, ETL, Data Warehouse, and T-SQL based workloads to Databricks. Assess complex T-SQL scripts, stored procedures, functions, views, dependencies, and transformation logic for modernization. Design scalable Databricks and PySpark solutions aligned to migration strategy and enterprise data architecture standards. Translate legacy business logic into optimized PySpark, Spark SQL, Delta Lake, and Databricks workflows. Create reusable frameworks, patterns, and best practices for migration from legacy platforms to Databricks. Provide technical guidance to mid-level Data Engineers and review migration deliverables for quality and performance. Collaborate with architects, stakeholders, business users, and delivery teams to define migration roadmaps and source-to-target mappings. Drive performance tuning, workload optimization, debugging, and scalability improvements across Databricks workloads. Ensure data quality, reconciliation, governance, security, and production readiness throughout the migration lifecycle.



Support estimation, planning, risk identification, documentation, and technical decision-making for the program. Mentor team members and help establish strong Data Engineering practices across the project. Must Have Skills 7+ years of relevant Data Engineering experience, with a consistent Data Engineering career path. Expert-level hands-on experience with Databricks. Strong PySpark expertise for enterprise-scale data processing and transformation. Advanced SQL/T-SQL understanding, with strong ability to read, analyze, and interpret legacy T-SQL implementations. Experience in migration or modernization from legacy SQL/ETL/Data Warehouse platforms to Databricks or modern cloud data platforms. Strong background in SQL Server, Oracle, ETL tools, Data Warehousing, or similar legacy data ecosystems. Robust understanding of Data Modeling, Data Warehousing, Delta Lake concepts, and batch processing patter

📌 Data Engineers with Nuvento (Chennai)
🏢 Nuvento Systems
📍 Chennai