Senior Data Engineer
Tasks
- Build optimize maintain data models and analytical workloads in Amazon Redshift
- Create trusted datasets with Data Analysts and stakeholders
- Design develop maintain improve scalable Zero ETL data pipelines
- Design scalable data models for reporting and analytics
- Develop manage workflow orchestration with Apache Airflow
- Ensure data quality accuracy consistency and platform availability
- Improve data architecture automation monitoring documentation
- Integrate data from multiple internal and external sources
- Maintain technical documentation for pipelines models workflows and architecture
- Monitor troubleshoot resolve data platform issues
- Optimize SQL queries data processing workloads and data warehouse performance
- Participate in technical planning architecture discussions code reviews and Agile development
Perks/Benefits
- Annual company retreats
- Flexible working hours
- Paid annual leave
- Premium equipment
- Remote-first environment
- Sustainability focus
Skills/Tech-stack
Amazon RDS | Amazon Redshift | Analytics | Apache Airflow | Data Modeling | Data Quality | Data Warehouse | Data pipeline | Query Optimization | SQL | SQL Query Optimization | SQL query | Workflow Orchestration | Zero ETL
Education
N/A
Roles
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