IN_Manager_Data Engineer_D&A_Advisory_Nagpur

Data Engineer with Databricks, Python, and PySpark to design, build, and optimize data pipelines and workflow orchestration across the infrastructure. Develop and maintain ETL/ELT pipelines using Databricks and write efficient PySpark and Python scripts for large-scale data processing. Implement data models, transformations, and CI/CD pipelines for automation. Mandatory skills include Databricks and PySpark; strong Python, CI/CD, Git, Docker, and Kubernetes; knowledge of Delta Lake and Databricks ecosystem tools is a plus. Education requires BE/BTech or ME/MTech. Responsibilities emphasize building scalable data pipelines, enabling analytics and insights for clients. Years of experience cited: 8—12 years with a managerial level role implied.