We are seeking a skilled Data Engineer to design, develop, and maintain robust data solutions. This role is integral to generating, collecting, and processing data efficiently. You will create advanced data pipelines, ensure stringent data quality, and implement comprehensive ETL processes for seamless data migration and deployment across systems.

The position offers a dynamic environment where you will collaborate closely with teams to optimize data workflows and address organizational data needs. This is an opportunity to contribute significantly to our data infrastructure.

Key responsibilities include independent performance and becoming a subject matter expert (SME). You will actively participate and contribute to team discussions, offering solutions to work-related challenges. Collaborate with cross-functional teams to understand data requirements and deliver scalable solutions. Monitor and troubleshoot data pipeline issues to ensure uninterrupted data flow. Document data processes and workflows meticulously to maintain clarity and support knowledge sharing. Provide guidance and support to junior team members.

A strong proficiency in the Databricks Unified Data Analytics Platform is essential. Experience in building and managing scalable data pipelines and workflows is required. Solid understanding of data integration techniques and ETL processes is necessary. Familiarity with cloud-based data storage and processing solutions is expected. Demonstrated ability to optimize data processing for performance and reliability. An understanding of data governance and quality assurance practices is beneficial. Minimum 3 years of experience with Databricks Unified Data Analytics Platform is mandatory. A 15-year full-time education is required.