- experience with AWS (including Redshift) and other cloud technologies
- 4-5+ years of experience designing and maintaining data warehouses (e.g., Redshift, Big Query) as well as building complex ETL/ELT pipelines.
- Expertise in working with real-time and batch data pipelines, including API-based integration workflows.
- Experience in maintaining and executing data onboarding blueprints which map source and target data strategies and aggregations.
- Advanced SQL proficiency, including concepts such as query optimization, indexing, and partitioning.
- Hands-on experience with Python for data-related processes, using libraries like pandas, numpy, and frameworks like Flask.
- Experience with data monitoring, detection, troubleshooting as well as validation frameworks.
- Proven track record of delivering well-designed, well-tested and performant software solutions and pipelines within an agile workplace.