Lead Data Engineer
Tasks
- Architect build and operate batch and streaming pipelines
- Build and maintain AWS cloud native data solutions
- Develop and operate high throughput low latency data processing
- Lead technical design discussions and drive performance improvements
- Mentor engineers and lead code reviews
- Orchestrate data workflows with Airflow
- Own production reliability and lead incident response
- Partner with product analytics and infrastructure teams
- Set data platform technical vision and roadmap
- Transform and model data with dbt
- Write clean, tested production code
Perks/Benefits
- 401k company contribution
- Coaching and Counseling Sessions
- Employee health and protective benefits
- Employee resource groups
- Flexible time off
- Hybrid & flexible working arrangements
- Paid parental leave
Skills/Tech-stack
AWS | Airflow | Apache Spark | Batch Processing | CI/CD | DBT | Data Modeling | Data Quality | Databricks | Docker | Java | Monitoring | Observability | PostgreSQL | Python | SQL | Streaming | Testing
Education
Bachelor of Engineering | Bachelor of Science | Master of Science
Roles
Data Engineer | Engineer | Lead | Lead Data | Lead Data Engineer | Senior Data Engineer
Regions
Countries
States
Cities
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