Vice President, Data Engineer
Tasks
- Build and enhance data platform
- Build cloud-native solutions on AWS
- Collaborate with product analytics and infrastructure teams
- Design, build, and maintain data pipelines
- Develop operate high throughput low latency systems
- Improve team performance with AI tools
- Orchestrate data workflows with Airflow
- Participate in system design discussions
- Support Databricks and Spark workloads
- Transform and model data with dbt
- Troubleshoot production systems and implement improvements
- Write test driven production code
Perks/Benefits
- Company paid health benefits
- Employee resource groups
- Flexible time off
- Free Coaching and Counseling
- Free daily snacks
- Hybrid working arrangements
- Paid parental leave
- Weekly lunches
Skills/Tech-stack
AWS | Agile | Apache Airflow | Apache Spark | Batch Processing | CI | CI/CD | DBT | Data Modeling | Data Pipelines | Data Quality | Databricks | Dependency Injection | Distributed Systems | Docker | Guice | Java | Monitoring | Non-relational | Non-relational Databases | PostgreSQL | Python | Relational databases | SQL Server | Spring | Stream processing | Testing
Education
N/A
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