Senior Data Engineer - Lounge by Zalando (all genders)
Tasks
- Build ML infrastructure for training and evaluation
- Build batch and streaming preprocessing pipelines
- Design ETL pipelines
- Implement low latency data stores
- Maintain data governance for data quality
- Optimize data processing performance
- Support real time recommender systems model training and distribution
Perks/Benefits
- Family services
- Health and wellbeing options
- Hybrid working
- Mental health support and coaching
- Paid volunteering days
- Peer-to-peer review
- Relocation assistance
- Remote work up to 60 percent per week
- Training platform access
- Vacation
- Work from abroad up to 30 working days per year
Skills/Tech-stack
Apache Beam | Apache Flink | Apache Hadoop | Apache Kafka | Apache Spark | Apache Storm | Batch Processing | Data Governance | Data Quality | Distributed Computing | ETL | Experimentation Frameworks | Java | Machine Learning | Machine Learning Pipelines | Python | Stream processing
Education
N/A
Roles
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