Join our team as a Data Engineer to design, build, and maintain robust data solutions for data generation, collection, and processing. This role involves creating efficient data pipelines, ensuring data quality, and implementing ETL processes for seamless data migration and deployment across systems. You will play a key part in optimizing data workflows and meeting organizational data needs.

- Design, develop, and maintain comprehensive data solutions. - Create and manage efficient data pipelines. - Ensure data integrity and quality throughout the lifecycle. - Implement ETL processes for data migration and deployment. - Collaborate with cross-functional teams to understand data requirements. - Monitor and troubleshoot data pipelines for reliability and performance. - Document data processes and workflows for knowledge sharing. - Provide guidance and support to junior team members.

- Proven experience designing, developing, and maintaining data solutions. - Expertise in data generation, collection, and processing. - Strong skills in building and managing scalable data pipelines. - Proficiency in data integration and ETL concepts. - Experience with cloud-based data storage and processing solutions is advantageous. - Ability to optimize data processing for performance and cost efficiency. - Understanding of data governance and quality assurance practices. - A minimum of 3 years of experience with Microsoft Azure Databricks is required.