Senoir Big Data Engineer
Tasks
- Build distributed data processing systems
- Design data-heavy ML infrastructure pipelines
- Expand scalable data infrastructure
- Improve MLOps standards for data reproducibility and lineage
- Optimize feature store for real-time and training data
- Provide tooling for data scientists and researchers
Perks/Benefits
- N/A
Skills/Tech-stack
AWS GCP Azure | Apache Spark | Cloud Platforms | Cloud Platforms (AWS | Cloud platforms AWS GCP | Cloud platforms AWS GCP Azure | Data Engineering | Data Pipelines | Data orchestration | Distributed Systems | Docker | Kafka | Kubernetes | Partitioning | Python | Scala | Schema evolution | Sharding
Education
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