Senior Data Engineer, Python - (Logistics, Data & ML)
Tasks
- Build real-time analytics systems
- Build scalable data models
- Design real-time data pipelines
- Develop CDC ingestion pipelines
- Ensure data quality, observability, and reliability
- Maintain datasets and documentation
- Operationalize analytics and ML workflows
- Participate in on-call rotation for platform stability
Perks/Benefits
- Corporate discounts
- Corporate pension plan
- Educational budget
- Food vouchers
- Gym subsidy
- Health checkups
- Hybrid working model
- Language courses
- Life and accident insurance
- Meal vouchers
- Meditation
- Paid time off
- Public transportation ticket discount
- Relocation support
Skills/Tech-stack
Apache Flink | Apache Kafka | Apache Spark | BigQuery | Cloud platform | Confluent Kafka | Data Observability | Data Processing | Data Quality | Data Reliability | Debezium | Google Cloud | Google Cloud Platform | Java | MLOps | Machine Learning | Python | Real Time | Real-time Data | Real-time Data Processing | Scala
Education
N/A
Roles
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