Senior Data Engineer: Design & Architecture
Tasks
- Architect and build AWS data infrastructure
- Design and build big data processing pipelines
- Design and build relational data layers for compliance data
- Design and maintain data models for governance risk compliance and scoring
- Engage stakeholders to deliver data products
- Implement audit ready data primitives
- Lead AI first development and responsible AI deployment
- Optimize data systems for performance and cost
Perks/Benefits
Skills/Tech-stack
AI RMF | AWS | AWS Bedrock | AWS EC2 | AWS Fargate | AWS Lambda | Access Control | Amazon S3 | Apache Spark | Async Processing | Change Data Capture | Data Capture | Data Lineage | Data Modeling | Databricks | Delta Lake | Delta Sharing | ETL | Embeddings | Evaluation Pipelines | Git | IAM | IAM policies | Idempotency | Indexing | JSON | KMS | Message Queues | NIST AI | NIST AI RMF | Pandas | Partitioning | PostgreSQL | Prompt engineering | PySpark | Python | RAG | Schema Design | Serverless computing | Task Queues | Unity Catalog | Vector Databases
Education
Roles
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