This role focuses on designing, developing, and maintaining robust data solutions essential for data generation, collection, and processing. You will be instrumental in building efficient data pipelines, upholding data integrity, and implementing sophisticated ETL processes to facilitate seamless data migration and deployment across diverse systems. Collaboration with cross-functional teams to align with data strategies and ensure scalable solutions is key to this position.

Independently drive projects and become a subject matter expert. Actively contribute to team discussions and problem-solving initiatives. Collaborate closely with stakeholders to capture and analyze detailed data requirements. Continuously monitor and optimize data pipelines to ensure peak performance and unwavering reliability.

A minimum of 3 years of hands-on experience with the Databricks Unified Data Analytics Platform is mandatory. Proficiency in building and managing data pipelines, implementing ETL processes, and ensuring data quality are essential. Strong understanding of data integration tools, data modeling, and database design principles is expected. Familiarity with cloud platforms relevant to data storage and processing, along with programming languages like Python or Scala for data manipulation, is also required. A foundational education comprising 15 years of full-time study is necessary.