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Tech Stack
Tools & technologiesPythonSQL
About the role
Key responsibilities & impact- Design, Develop and Support complex Data pipelines
- Own end-to-end design and implementation of dbt models
- Optimize existing data pipelines
- Instrument data pipelines with quality frameworks
- Collaborate with other team members to deliver tasks
Requirements
What you’ll need- 4+ years of professional experience in data engineering or analytics engineering
- Intermediate to advanced proficiency in dbt
- Expert-level SQL, including window functions and complex aggregations
- Intermediate Python proficiency for data pipeline scripting
- Demonstrated experience designing data architecture for analytical reporting
Benefits
Comp & perks- Professional development opportunities
- Flexible working arrangements
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 engineeringanalytics engineeringdbtSQLwindow functionscomplex aggregationsPythondata architecturedata pipelinesanalytical reporting
Soft Skills
collaborationtask delivery
