Advance your career as a Data Engineer by designing, developing, and maintaining robust data solutions. This role focuses on enhancing data generation, collection, and processing capabilities. You will be instrumental in crafting efficient data pipelines, ensuring impeccable data quality, and implementing sophisticated ETL processes for seamless data migration and deployment across systems. Collaboration with diverse teams to grasp data requirements and deliver impactful solutions is key to success.

Lead the team as a Subject Matter Expert, fostering collaboration and driving performance. Take ownership of team decisions and contribute significantly to key cross-functional initiatives. Solve complex problems for your immediate team and beyond, while mentoring junior members to foster their skill development. Continuously refine data processes for optimal efficiency and effectiveness.

- Expected to be an SME. - Collaborate and manage the team to perform. - Responsible for team decisions. - Engage with multiple teams and contribute on key decisions. - Provide solutions to problems for their immediate team and across multiple teams. - Mentor junior team members to enhance their skills and knowledge. - Continuously evaluate and improve data processes to enhance efficiency.

A strong foundation in the Databricks Unified Data Analytics Platform is essential. Experience with Microsoft Azure Analytics Services, Microsoft Azure Databricks, and PySpark is highly desirable. Demonstrable expertise in data pipeline architecture, ETL processes, and data integration techniques is expected. Familiarity with data quality frameworks and best practices will be advantageous.

Candidates must possess a minimum of 2-5 years of relevant experience. A full-time education spanning 15 years is a prerequisite for this role.