Join our team as a Data Engineer and play a key role in architecting and implementing robust data solutions. This full-time position focuses on designing, developing, and maintaining systems for data generation, collection, and processing.

You will be instrumental in building efficient data pipelines, ensuring the highest data quality, and executing ETL processes for seamless data migration and deployment across diverse systems. This role offers a dynamic environment to contribute to critical data infrastructure and support organizational objectives.

As a Data Engineer, you are expected to operate independently and grow into a Subject Matter Expert (SME) role.

Your responsibilities include actively participating in team discussions and contributing solutions to complex work-related problems. You will collaborate closely with cross-functional teams to grasp data requirements and deliver scalable data solutions.

Monitoring and optimizing data pipelines for peak performance and reliability are crucial. You will also be responsible for meticulously documenting data processes and workflows to foster knowledge sharing and maintain clarity. Assisting and mentoring junior team members will also be a part of your role.

A strong command of the Databricks Unified Data Analytics Platform is essential for this role.

We are looking for individuals with proven experience in building and managing scalable data pipelines and workflows, coupled with a solid understanding of data integration and ETL processes. Familiarity with cloud-based data storage and processing solutions is highly desirable.

An ability to efficiently troubleshoot and resolve data-related issues is key. A good grasp of data governance and quality assurance practices is also expected. A minimum of 3 years of relevant experience is required, alongside 15 years of full-time education.