Responsibilities and Accountabilities:
Data Pipeline Development: Design, build, and optimize data pipelines using DWH technologies, Databricks, QLIK and other platforms as required. Ensuring data quality, reliability, and scalability. Application Transition: Support the migration of internal applications to Databricks (or equivalent) based solutions. Collaborate with application teams to ensure a seamless transition. Managing Continuous Improvement, Continuous Development, DevOps and RunOps activities at application, data and infra levels either on cloud or on premise. Mentorship and Leadership: Lead and mentor junior data engineers. Share best practices, provide technical guidance, and foster a culture of continuous learning. Data Strategy Contribution: Contribute to the organization’s data strategy by identifying opportunities for data-driven insights and improvements. Participate in smaller focused mission teams to d...