Job description:

1. Good understanding of ETL and data warehousing.2. Good hands on experience on azure databricks development like cluster management , notebook execution , workflow etc.3. In databricks, pyspark is must. 4. Delta tables, unity catalogue, key vault etc in databricks.5. Should be familiar about Extraction of data from APIs 6. good to have knowledge of product manufacturing domain.

• To oversee quality assurance processes, ensuring adherence to coding standards , implementation of best practices and participate in technical discussionsorreview.
• To create work plans, monitor and track the work schedule for on time delivery as per the defined quality standards.
• To Identify potential risks and issues that may impact project timelines or quality and accordingly develop mitigation strategies or contingency plans to address risks.
• To lead and empower a dynamic development team by boosting their technical skills, improving productivity, and fostering a collaborative high-performance culture.