Senior Data Engineer (f/m/d)
Tasks
- Coordinate with data science and backend teams
- Design data ingestion logic for new sources
- Develop real time data processing services
- Ensure dataset governance and integrity
- Identify and eliminate bottlenecks
- Implement data validation and monitoring
- Integrate data science features into production
- Maintain and optimize data lake architecture
- Optimize ETL pipeline performance
- Scale feature store streams
Perks/Benefits
- 30 vacation days
- Company hackathons and events
- Employee assistance program
- Flexible working hours
- Hybrid work setup
- In-house gym access
- Relocation bonus
- Relocation support
- Remote work
- Visa assistance
Skills/Tech-stack
Amazon S3 | Amazon Web Services | Apache Airflow | Apache Flink | Apache Kafka | DBT | Data Governance | Data Lakehouse | Data Quality | Data Validation | Deep learning | DynamoDB | ELK Stack | ETL | Feature Store | Go | Grafana | Java | Kubernetes | Low Latency | Low-Latency Systems | Medallion Architecture | NVIDIA Triton | NoSQL | Prometheus | PyTorch | Python | Redis | Relational databases | Semantic layers | TensorFlow | TensorFlow Serving | Terraform | Web Services
Education
N/A
Roles
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