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python git apis data pipelines data quality📋 Description
- Create scripts, CLI utilities, and UIs (Streamlit) to improve data quality interventions at scale.
- Query large datasets to surface insights and identify data quality issues.
- Collaborate with developers to build backend tools and data pipelines improving tracking system quality.
- Translate analyst pain points into technical solutions reducing manual effort.
- Create clear docs for tools, data processes, and analytical approaches for knowledge sharing.
- Develop automated checks and monitoring to flag data anomalies before manual intervention.
🎯 Requirements
- Experience extracting, transforming and analysing data from databases and APIs
- Comfort with large, unstructured datasets beyond standard spreadsheets
- Experience tackling problems requiring learning new tools or technical approaches
- Proficiency in Python or ability to learn quickly
- Experience building CLI tools or scripts to automate processes
- Familiarity with Git-based workflows and code reviews
- Pragmatic, self-starting mindset with ownership
🎁 Benefits
- Fair, inclusive and diverse work environment
- Equal opportunity employer
- Collaborative, global team across 35+ countries
- Supportive culture focused on impact and ownership
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