Senior Data Engineer (all genders)
Tasks
- Automate test version and documentation
- Build data platform infrastructure
- Collaborate with architecture product owner and DevOps
- Communicate technical concepts to stakeholders
- Design data architectures
- Develop data pipelines
- Enable analytics product and AI use cases
- Establish data engineering best practices and standards
- Implement quality security governance lineage
- Monitor alert and ensure data quality
- Operate data pipelines
- Transform and validate data
Perks/Benefits
- Coaching
- Family support
- Flexible working hours
- Health programs
- Home office
- Kita Subsidies
- Language courses
- Mobile work
- Paid time off
- Sabbatical option
- Training support
- Workplace meals
Skills/Tech-stack
Alerting | Apache Doris | Apache Druid | Azure Synapse | Batch Processing | C# | ClickHouse | Data Governance | Data Lake | Data Lineage | Data Modeling | Data Quality | Data Warehouse | Delta Lake | Hudi | Iceberg | Java | Lakehouse | Monitoring | OLAP | Observability | Performance optimization | Python | SQL | Scala | Schema evolution | Streaming | Testing | Trino
Education
Bachelor of Engineering | Bachelor of Science | Master of Science
Roles
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