Overview
Design, develop and maintain data solutions for data generation, collection, and processing, including data pipelines, data quality and ETL processes to migrate and deploy data across systems.
What you'll do
- Design, develop and maintain data solutions for data generation, collection, and processing.
- Create data pipelines and ensure data quality.
- Implement ETL (extract, transform and load) processes to migrate and deploy data across systems.
- Develop and optimize data models to support analytical and operational needs.
- Monitor and troubleshoot data pipeline performance to ensure reliability and efficiency.
- Collaborate with cross-functional teams to understand their data needs and provide solutions that enhance data accessibility and usability.
- Collaborate and manage the team to perform, and take responsibility for team decisions.
- Engage with multiple teams and contribute on key decisions.
- Provide solutions to problems for the immediate team and across multiple teams.
What you'll need
- Minimum 7.5 years of experience is required.
- Must have: Proficiency in Data Modeling Techniques and Methodologies.
- Strong understanding of ETL processes and data integration techniques.
- Experience with data warehousing concepts and best practices.
- Familiarity with data governance and data quality frameworks.
- 15 years full time education is required.
Nice to have
- Experience with Data Engineering.
- Experience with Cloud Data Migration.
Details
Read the full description and apply on the company’s own careers page.