Senior Data Engineer I
Tasks
- Architect and maintain GitLab CI pipelines for dbt and deployments
- Automate data governance and access control via code
- Collaborate with data scientists BI developers and data engineers
- Define and monitor data pipeline SLIs SLOs SLAs
- Design, develop, and maintain scalable data pipelines
- Develop and maintain dbt data models with testing and documentation
- Evaluate and adopt new data engineering technologies
- Implement observability and alerting for data pipelines
- Lead data infrastructure design and implementation
- Lead engineering standards code reviews and best practices
- Optimize data warehouse performance and costs
- Process real time and near real time data
- Troubleshoot data pipeline and infrastructure issues
Perks/Benefits
- Digital disconnect days
- Employee stock purchase plan
- Global induction program
- Paid time off
- Professional development programs
- Volunteer time off
- Wellbeing programs
Skills/Tech-stack
ABAC | Alerting | Amazon Kinesis | Apache Airflow | Apache Beam | Apache Flink | CI/CD | Cloud Pub/Sub | DBT | Data Governance | Data Modeling | Data Warehousing | Docker | ELT | ETL | GCP Composer | GitLab CI | Google Cloud | Google Cloud Pub/Sub | Java | Kubernetes | Observability | Partitioning | Pub/Sub | Pulumi | Python | Query Tuning | RBAC | SLA | SLI | SLO | SQL | Scala | Terraform
Education
Bachelor of Arts | Bachelor of Engineering | Bachelor of Science
Roles
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