Senior Data Engineer
Tasks
- Build and optimize Redshift data models
- Design scalable data warehouse architectures
- Design zero ETL data pipelines
- Ensure data quality monitoring and reliability
- Integrate data from multiple sources
- Maintain technical documentation
- Optimize SQL queries and data processing workloads
- Orchestrate workflows with Apache Airflow
- Participate in code reviews and agile planning
- Troubleshoot data platform issues and perform root cause analysis
Perks/Benefits
- Annual company retreats
- Flexible working hours
- Paid annual leave
- Performance incentives
- Premium equipment
- Remote-first environment
- Sustainability focus
Skills/Tech-stack
AWS | Amazon RDS | Amazon Redshift | Apache Airflow | Cause analysis | Data Modeling | Data Monitoring | Data Quality | Data Warehouse | Data pipeline | ETL | Query Optimization | Root Cause Analysis | Root cause | SQL | Workflow Orchestration | Zero ETL
Education
N/A
Roles
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