Join our team as a Data Engineer and take ownership of designing, developing, and maintaining robust data solutions. You'll be instrumental in enhancing data generation, collection, and processing capabilities.

Your responsibilities will include building efficient data pipelines, ensuring high data quality, and implementing comprehensive ETL processes for seamless data migration and deployment across various systems. This role involves active collaboration with cross-functional teams to understand data needs and translate them into effective technical solutions, aligning data architecture with organizational objectives.

Key duties involve independently performing and becoming a subject matter expert.

Active participation in team discussions and contributing solutions to work-related challenges are expected.

You will collaborate with diverse teams to analyze data requirements and devise technical solutions.

Monitor and optimize data pipelines for enhanced performance and reliability.

Document data processes and workflows to facilitate knowledge sharing.

Provide guidance and support to junior team members, fostering their professional development.

A minimum of 3 years of experience with the Databricks Unified Data Analytics Platform is essential.

Proven experience in designing and implementing scalable data pipelines and ETL processes.

Strong understanding of data integration techniques and data quality assurance methodologies.

Familiarity with cloud-based data storage and processing solutions.

Ability to efficiently troubleshoot and resolve data-related issues.

A solid grasp of data governance and security best practices is required.

This position requires a total of 15 years of full-time education.