Join our team as a Data Engineer and play a pivotal role in shaping our data landscape. You will be instrumental in designing, developing, and maintaining robust data solutions, ensuring efficient data generation, collection, and processing. This role involves creating sophisticated data pipelines, upholding data quality standards, and implementing effective ETL processes for seamless data migration and deployment across diverse systems.

Your contributions will be crucial in collaborating with cross-functional teams to understand intricate data requirements and translate them into practical technical solutions. You will also monitor and optimize existing data pipelines to enhance performance and reliability, while meticulously documenting processes and workflows to foster transparency and knowledge sharing.

This is an excellent opportunity to become a Subject Matter Expert (SME) and contribute significantly to team discussions and problem-solving. You will also have the chance to mentor and support junior team members, fostering a collaborative and growth-oriented environment.

- Design, develop, and maintain comprehensive data solutions for data generation, collection, and processing. - Create and manage efficient data pipelines ensuring smooth data flow. - Uphold data integrity and quality throughout the data lifecycle. - Implement ETL processes for seamless data migration and deployment across systems. - Collaborate with cross-functional teams to gather and translate data requirements into technical solutions. - Monitor and optimize data pipelines for improved performance and reliability. - Document data processes and workflows for transparency and knowledge sharing. - Provide guidance and support to junior team members.

- Minimum 2-5 years of experience in a Data Engineering role. - Proven expertise in designing, developing, and maintaining data solutions. - Strong proficiency in creating and managing data pipelines. - Experience with ETL (extract, transform, load) processes and data migration. - Ability to ensure data quality and integrity. - Familiarity with Databricks Unified Data Analytics Platform is essential. - Excellent problem-solving skills and the ability to work independently. - Strong communication and collaboration skills for cross-functional teamwork. - 15 years of full-time education is required.