Senior Data Engineer ID82547
Posted Updated 3
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Summary
Designs and maintains Snowflake data models and Python ETL pipelines for retail analytics, transforming customer and behavioral datasets into clean, queryable structures.
- Build and maintain data models and semantic views
- Build customer data platform models in Snowflake
- Clean and transform customer and behavioral datasets
- Create semantic views and structured metadata
- Develop Python data transformation scripts
- Engineer datasets for retail analytics initiatives
- Maintain technical documentation and data dictionaries
- Parse and flatten semi structured JSON data
- Translate business requests into technical specifications
- Use git workflows and data testing protocols
- Write production grade SQL transformations
Perks/Benefits:
- Annual learning budget
- Flexible hours
- Learning budget
- Mentorship
- Remote work
- Supportive culture
- Wellbeing programs