Data Engineering Team Lead
Tasks
- Coach and develop data engineers
- Define and monitor data SLAs and SLOs
- Embed data contracts for data quality
- Implement data observability and SLA monitoring
- Lead delivery of data pipelines
- Manage sprint cadences and delivery risks
- Own batch and real time streaming workloads
- Report pipeline SLOs and data freshness metrics
- Run code and design reviews
- Set technical direction and engineering standards
- Translate stakeholder requirements into deliverables
Perks/Benefits
- Career progression
- Community work
- Extra time off for volunteering
- Hybrid working
- Mentoring opportunities
- Sports and Social Clubs
- Tailored development programs
Skills/Tech-stack
Apache Airflow | Apache Kafka | Automated alerting | BigQuery | Cloud Composer | Cloud Storage | Cloud platform | DBT | Data Contracts | Data Observability | Data freshness | Google Cloud | Google Cloud Platform | Google Cloud Storage | Kafka Connect | Medallion Architecture | Real Time | Real-time Streaming | SLA | SLO | SQL
Education
N/A
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