Seeking a skilled Data Engineer to design, develop, and maintain robust data solutions for data generation, collection, and processing. This role focuses on creating efficient data pipelines, ensuring data integrity, and implementing ETL processes for seamless data migration and deployment across systems. You will play a crucial role in supporting the organization's data infrastructure and analytics objectives.

Independently drive projects and become a subject matter expert. Actively participate in team discussions and contribute to problem-solving with innovative solutions. Collaborate with cross-functional teams to understand data needs and deliver scalable, high-performance data solutions. Continuously monitor and optimize data pipelines for enhanced performance and reliability. Document data processes and workflows meticulously for clarity and future maintenance. Provide guidance and support to junior team members, fostering their growth and development.

A minimum of 3 years of hands-on experience is required, with a strong emphasis on the Databricks Unified Data Analytics Platform. Essential skills include building and managing scalable ETL pipelines, a deep understanding of data integration and transformation techniques, and familiarity with cloud-based data storage and processing solutions. Candidates should possess the ability to troubleshoot and resolve data quality and pipeline issues effectively. A foundational knowledge of data governance and security best practices is also expected. A 15-year full-time education is a mandatory qualification.