Found Description
Responsibilities
- Develop, test, and deploy high-quality code using Python, PySpark, and SQL in a cloud-based environment.
- Lead technical and solution design sessions within an agile development team.
- Influence and champion the vision for data engineering across several Lending teams.
- Use modern data engineering practices and Data Vault 2.0 methodologies to design, build, and maintain ETL data pipelines.
- Ensure technical solutions, pipelines and data models are fit for purpose.
- Collaborate closely with product owners, analysts, architects, and internal data consumers across Reporting, Risk, and Finance.
- Act as an informal technical leader by mentoring and coaching developers.
- Improve pipeline reliability and maturity by enhancing automation, integration testing, and CI practices across the data development lifecycle.
Qualifications
- Bachelor’s degree in computer science or softw...
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