Senior Data Engineer I
Tasks
- Architect and maintain CI pipelines for dbt and deployments
- Automate data governance and access control policies
- Build scalable data pipelines and ETL ELT processes
- Collaborate with analytics and data stakeholders
- Define and monitor SLIs, SLOs, and SLAs
- Develop data models with dbt including testing and documentation
- Establish code review standards and engineering best practices
- Evaluate and adopt new data engineering technologies
- Implement observability and alerting for data pipelines
- Lead design and implementation of data infrastructure
- Optimize data warehouse performance and costs
- Process real time and near real time data
- Troubleshoot data pipeline and infrastructure issues
Perks/Benefits
- Competitive time off
- Digital disconnect days
- Employee stock purchase plan
- Employee wellbeing programs
- Immersive global induction program
- Talent and development programs
- Volunteer time off
Skills/Tech-stack
ABAC | Alerting | Amazon Kinesis | Apache Airflow | Apache Beam | Apache Flink | CI/CD | DBT | Data Governance | Data Modeling | Docker | ELT | ETL | GCP Composer | GitLab CI | Google Pubsub | Kubernetes | Observability | Partitioning | Query Optimization | RBAC | SLA | SLI | SLO | SQL | Streaming Data | Terraform
Education
Bachelor of Arts | Bachelor of Engineering | Bachelor of Science | PhD
Roles
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