Senior Data Engineer
Tasks
- Design zero ETL data pipelines
- Develop data models in Amazon Redshift
- Ensure data quality accuracy consistency and availability
- Integrate data from multiple sources
- Maintain technical documentation
- Monitor troubleshoot and resolve data platform issues
- Optimize SQL queries and data warehouse performance
- Orchestrate workflows with Apache Airflow
- Participate in architecture discussions and code reviews
Perks/Benefits
- Annual company retreats
- Flexible working hours
- Paid annual leave
- Premium equipment
- Remote-first environment
- Sustainability focus
Skills/Tech-stack
AWS | Agile | Amazon RDS | Amazon Redshift | Apache Airflow | Cause analysis | Data Modeling | Data Quality | Data Warehouse | Data pipeline | Data warehouse performance | ETL | Root Cause Analysis | Root cause | SQL | Warehouse performance | Zero ETL
Education
N/A
Roles
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