Senior Data Platform Engineer
Tasks
- Apply testing documentation and observability practices
- Define data contracts and ingestion patterns
- Design build and operate data pipelines
- Drive end to end data engineering initiatives
- Implement data modeling and schema design
- Improve reliability performance and operational maturity
- Lead architecture discussions and design reviews
- Mentor engineers through code reviews
- Monitor alert and handle incidents
- Process batch and streaming data
- Translate requirements into technical solutions
Perks/Benefits
- Bike allowance
- Flexible working
- Generous leave
- Health coverage
- In-person collaboration
- Learning and development
- Lunch and snacks
- Parking reimbursement
- Public transport reimbursement
- Retirement options
- Wellness support
Skills/Tech-stack
Airflow | Alerting | Apache Airflow | Apache Spark | Argo Workflows | Batch Processing | CI/CD | ClickHouse | DBT | Data Contracts | Data Lakehouse | Data Modeling | Data Pipelines | Data Quality | Data Warehouse | Delta Lake | Distributed Systems | Fault Tolerance | Flink | Iceberg | Incident Response | Infrastructure as Code | Java | Kafka | Kubernetes | Monitoring | Observability | Python | Query Optimization | SQL | Scala | Schema evolution | Spark Structured Streaming | Streaming processing | Structured Streaming | Trino | “as-code”
Education
Bachelor of Engineering | Master of Engineering | Master of Science
Regions
Countries
States
Cities
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