Senior Data Engineer - Lounge by Zalando (all genders)
Tasks
- Build ML infrastructure for training and evaluation
- Collaborate with data scientists and engineers
- Create experimentation frameworks
- Design and build large-scale ETL pipelines
- Diagnose and optimize distributed data pipelines
- Implement and maintain low latency data stores
- Improve data governance mechanisms
- Optimize streaming and batch processing pipelines
Perks/Benefits
- Discounts
- Employee shares program
- Family services
- Health and wellbeing options
- Hybrid working
- Mental health support
- Paid volunteering days
- Peer review
- Relocation assistance
- Training and development
- Work from abroad
Skills/Tech-stack
Amazon DynamoDB | Apache Beam | Apache Flink | Apache Kafka | Apache Spark | Apache Storm | Batch Processing | Cassandra | Data Governance | Data Processing | Data Quality | Distributed Databases | Distributed data | Distributed data processing | ETL | Experimentation Frameworks | Hadoop | Java | Machine Learning | Machine Learning Infrastructure | Model Evaluation | Model Training | Python | Redis | Streaming
Education
N/A
Roles
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