Data Engineer Mid-Level
Tasks
- Build data pipelines
- Build datasets for dashboards
- Collaborate with cross-functional teams
- Communicate data insights
- Contribute to data modeling best practices
- Deliver datasets for reporting tools
- Design data pipelines
- Document data pipelines
- Ensure data accuracy
- Ensure data consistency
- Ensure data quality
- Maintain data pipelines
- Optimize SQL queries
- Perform data governance
- Run A/B testing
- Support experimentation frameworks
- Tailor insights for non technical audiences
- Translate business questions into data solutions
- Validate experiment results
Perks/Benefits
- Hybrid work options
- International mobility
- Professional development programs
- Remote work options
- Training opportunities
Skills/Tech-stack
A/B | A/B Testing | AWS | Agile methodologies | B testing | Business Intelligence | Cloud Computing | Cloud platform | Dashboards | Data Modeling | Data Pipelines | Data Quality | Data Storytelling | Data Validation | Experimentation | Google Cloud | Google Cloud Platform | Metabase | Microsoft Azure | SQL | Statistics
Education
N/A
Roles
Regions
Countries
States
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