Data Engineer
Tasks
- Automate data processes using Python
- Collaborate on KPIs and reporting
- Create dashboards using low-code platforms
- Design and build scalable ETL/ELT pipelines
- Design and optimize data models for analytics
- Develop and maintain API integrations
- Implement data validation and monitoring
- Integrate data from internal and external systems
- Maintain technical documentation
- Monitor and resolve data pipeline failures
- Participate in cross-functional discussions
- Suggest improvements to data flows
- Translate datasets into insights
- Work with cloud data warehouses
Perks/Benefits
- Access to courses
- Charity initiatives
- External training compensation
- Flexible working arrangements
- Internal promotion
- Market insights
- No micromanagement
- Proactive culture
- Remote or hybrid work
- Supportive environment
- Unlimited vacation
Skills/Tech-stack
API Integrations | AWS | Airflow | CI/CD | Cloud Platforms | Coda | DBT | Data Modeling | Data Visualization | Data Warehouses | GCP | Git | Google Sheets | JSON | OAuth | Power BI | Python | REST | Retool | SQL | Tableau
Education
Roles
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