This role focuses on designing, developing, and maintaining robust data solutions for data generation, collection, and processing. Key responsibilities include building efficient data pipelines, ensuring data quality, and implementing ETL processes for seamless data migration and deployment across systems.

As a Data Engineer, you will be instrumental in optimizing data workflows and supporting organizational data needs through continuous collaboration and innovation.

- Design, develop, and maintain data solutions for data generation, collection, and processing. - Create and manage efficient data pipelines, ensuring data integrity and quality. - Implement ETL processes for data migration and deployment across various systems. - Collaborate with cross-functional teams to gather data requirements and deliver scalable solutions. - Monitor and resolve data pipeline issues to maintain uninterrupted data flow. - Document data processes and workflows for knowledge sharing and clarity. - Provide guidance and support to junior team members.

- Minimum 3 years of experience in data engineering, with a strong focus on Databricks Unified Data Analytics Platform. - Proven ability to build and manage scalable data pipelines and workflows. - Expertise in data integration and ETL processes. - Familiarity with cloud-based data storage and processing solutions. - Skills in optimizing data processing for performance and reliability. - Understanding of data governance and quality assurance practices. - A commitment to continuous learning and development within the AI and data science field.