As a Data Engineer, you will be instrumental in designing, developing, and maintaining robust data solutions. Your focus will be on enhancing data generation, collection, and processing capabilities. You will architect and implement efficient data pipelines, ensuring the highest standards of data quality.

Furthermore, you will skillfully manage ETL processes for seamless data migration and deployment across diverse systems. This role is crucial for strengthening our data infrastructure and optimizing operational efficiency.

- Independently perform duties and establish expertise. - Actively participate and contribute in team discussions. - Provide effective solutions to work-related challenges. - Collaborate with cross-functional teams to define data needs and deliver scalable solutions. - Monitor and optimize data workflows for improved performance and reliability. - Document data processes and maintain clear stakeholder communication. - Guide and support junior team members for their professional development.

- A strong command of the Databricks Unified Data Analytics Platform is essential. - Proven experience in building and managing scalable data pipelines and workflows. - Solid understanding of data integration techniques and ETL processes. - Familiarity with cloud-based data storage and processing solutions. - Ability to efficiently troubleshoot and resolve data quality and pipeline issues. - Knowledge of data governance and security best practices is required. - A minimum of 3 years of relevant experience is mandatory. - 15 years of full-time education is a prerequisite for this role.