Data Engineer
Tasks
- Build and optimize data pipelines
- Create data contracts and event flows
- Define and enforce data governance and quality standards
- Define data architecture and platform strategy
- Design data pipelines for production AI ML systems
- Design scalable data lakes and warehouses
- Drive data platform modernization for performance and cost
- Implement data monitoring logging and alerting
- Integrate data services with APIs and third party systems
- Lead data engineering standards and best practices
- Make high-stakes architectural decisions
- Mentor junior engineers
- Partner with leadership on data strategy
Perks/Benefits
- N/A
Skills/Tech-stack
API Integration | AWS | Amazon Kinesis | Artificial Intelligence | CI/CD | Cloud Pub/Sub | Compliance | Data Contracts | Data Governance | Data Lake | Data Modeling | Data Quality | Data Transformation | Data Warehouse | Data fabric | Data mesh | Data orchestration | Data pipeline | Distributed Systems | Docker | Embeddings | Event Driven | Event-driven architecture | Feature Store | Google Cloud | Google Cloud Pub/Sub | Kafka | Kubernetes | Lakehouse | Machine Learning | Pub/Sub | Python | Retrieval-Augmented Generation | SQL | Scala | Streaming Platforms | Vector Databases
Education
N/A
Roles
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