This Data Engineer role focuses on building and maintaining robust data solutions. You will be instrumental in designing systems for data generation, collection, and processing, ensuring seamless data flow and integrity across various platforms.

Key responsibilities include developing efficient data pipelines and implementing comprehensive ETL processes. The role demands a proactive approach to data quality management and system migration, contributing to the overall reliability of data operations.

Develop and maintain data generation, collection, and processing solutions. Design and implement efficient data pipelines. Ensure high standards of data quality. Execute ETL processes for data migration and deployment. Act as a subject matter expert and perform independently. Contribute actively to team discussions and problem-solving. Collaborate with cross-functional teams to understand and meet data requirements.

Minimum of 2 years of experience in data engineering, with a strong focus on the Databricks Unified Data Analytics Platform. Proficiency in designing and managing data pipelines and ETL processes. Solid understanding of data quality principles and data integration techniques. Experience with data modeling and database design. Familiarity with cloud platforms and related data services. Knowledge of programming languages like Python or Scala for data manipulation is essential. A foundational 15 years of full-time education is a prerequisite for this position.