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About the role
Key responsibilities & impact- Ensure AI is solving the right problems
- Use the right approaches and drive measurable impact
- Collaborate with teams across finance, supply chain, R&D, and commercial
Requirements
What you’ll need- 3 years of experience & up
- Design and implement end-to-end data pipelines (ingestion → transformation → quality → delivery)
- Contribute to app features with guidance from mid/senior teammates
- Present results and findings to your team
- Build and maintain data infrastructure components (streaming pipelines, transformations, APIs, catalogs)
- Implement robust data quality frameworks, monitoring, and alerting systems
- Optimize data workflows for cost, performance, and reliability
- Mentor junior team members on data engineering best practices and tooling
Benefits
Comp & perks- Professional development
- Hybrid work policy
ATS Keywords
✓ Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills & Tools
data pipelinesdata ingestiondata transformationdata qualitydata deliverystreaming pipelinesAPIsdata infrastructuredata workflowsdata engineering
Soft Skills
collaborationpresentationmentoring
