Senior Data Engineer - Lounge by Zalando (all genders)
Tasks
- Build improve ML infrastructure
- Collaborate with data scientists and engineers
- Design build batch processing pipelines
- Design build optimize ETL pipelines
- Design build stream processing pipelines
- Diagnose optimize slow data pipelines
- Enable model training and evaluation frameworks
- Implement improve data governance mechanisms
- Implement maintain low latency data stores
- Support experimentation frameworks
Perks/Benefits
- Counseling support
- Discounts
- Employee shares program
- Family services
- Health wellbeing options
- Hybrid work
- Mental health support
- Paid volunteering days
- Peer-to-peer review
- Relocation assistance
- Remote work
- Training platform
- Vacation days
- Work from abroad
Skills/Tech-stack
Apache Beam | Apache Flink | Apache Hadoop | Apache Kafka | Apache Spark | Apache Storm | Batch Processing | Cassandra | Data Engineering | Data Processing | Distributed Databases | Distributed data | Distributed data processing | DynamoDB | ETL | Java | Machine Learning | Python | Recommender Systems | Redis | Streaming
Education
N/A
Roles
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