Databricks Migration Developers (Coimbatore)

The ideal candidate will be responsible for designing and developing Databricks and DBT models to transform raw enterprise and SAP data into business-ready datasets. The candidate will build SQL-based transformations, ensure data quality and performance, and contribute to scalable Azure Lakehouse solutions. They will also collaborate with cross-functional teams to support reporting, analytics, and AI-ready data products. Responsibilities Develop and maintain Databricks and DBT models for data transformation and analytics. Design and implement SQL-based transformations and analytical views. Process and transform data from SAP BW, SAP ECC, SAP S/4HANA, and other enterprise systems. Analyze and replicate existing SAP BW transformation logic within DBT models. Create reusable DBT macros and implement incremental processing logic. Ensure data quality, consistency, and performance optimization of data pipelines. Build and maintain Lakehouse solutions using Databricks SQL, Spark, and Delta Lake. Collaborate with upstream and downstream teams within the Azure-based platform architecture. Publish curated datasets for Power BI and support AI/ML readiness initiatives. Follow Git version control and enterprise development standards. Qualifications 5+ years of experience in Data Engineering or Databricks development. Hands-on experience with Azure Databricks, DBT, SQL, Spark SQL, and PySpark. Strong understanding of Data Warehousing, relational modeling, and ETL/ELT concepts. Experience working with SAP BW, SAP ECC, or SAP S/4HANA data structures is preferred. Knowledge of Lakehouse architecture, Delta Lake, and incremental data processing. Experience with Git and working in structured enterprise environments. Robust debugging, troubleshooting, and analytical problem-solving skills. .