Opportunity for a skilled Data Engineer to design, build, and maintain robust data solutions.

You will be instrumental in the generation, collection, and processing of data, creating efficient data pipelines to ensure seamless data flow and integrity. This role involves implementing ETL processes for cross-system data migration and deployment, contributing to the organization's data infrastructure and operational efficiency.

As a Subject Matter Expert (SME), you will be expected to work independently and actively contribute to team discussions, offering solutions to complex data-related challenges.

- Design, develop, and maintain data generation, collection, and processing solutions. - Build and manage scalable data pipelines and workflows. - Implement Extract, Transform, Load (ETL) processes for data migration and deployment. - Ensure data quality and integrity throughout the data lifecycle. - Collaborate with cross-functional teams to define data requirements and deliver solutions. - Monitor and optimize data workflows for performance and reliability. - Document data processes and maintain clear communication with stakeholders. - Mentor junior team members on data engineering concepts and best practices.

- Minimum of 3 years of experience in data engineering, with a strong focus on Databricks Unified Data Analytics Platform. - Proven experience in building and managing scalable data pipelines. - Deep understanding of data integration techniques and ETL processes. - Familiarity with cloud-based data storage and processing solutions. - Ability to effectively troubleshoot and resolve data quality and pipeline issues. - Knowledge of data governance and security best practices is a plus. - A foundational education of 15 years of full-time study is required.