Senior Data Engineer
Tasks
- Apply medallion architecture data modeling
- Build developer experience for self service platform
- Define data governance standards
- Design and implement production data pipelines
- Design and operate ELT pipelines
- Drive documentation and mentoring
- Drive technical POCs for platform improvements
- Embed lineage and metadata by design
- Ensure security by design in cloud data environments
- Implement data contracts and quality controls
- Implement infrastructure-as-code
- Lead Airflow orchestration evolution
- Optimize query performance and compute cost
- Partner with DataOps on CI CD and platform automation
Perks/Benefits
- Caregiver leave
- Employee wellbeing benefits
- Flexible working hours
- Health insurance
- Home office
- Inclusive workplace
- International teams
- Life and disability insurance
- Lunch vouchers
- Paid time off for learning and development
- Parental leave
Skills/Tech-stack
AWS S3 | Airflow | CI/CD | Cost Optimization | Data Contracts | Data Lineage | Data Modeling | Data Processing | Data Quality | Databricks | Distributed data | Distributed data processing | ELT | IAM | Incident Response | Incremental pipelines | Infrastructure as Code | MPP systems | Medallion Architecture | Metadata Management | Networking Fundamentals | Observability | Performance optimization | Python | Query performance | Query performance optimization | SLO | SQL | Snowflake | Terraform | “as-code”
Education
N/A
Roles
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