Principal Cloud Data Engineer (Teradyne, North Reading, MA)
Tasks
- Apply secure by default access controls
- Build Lakehouse and Medallion architectures
- Build automated testing monitoring and observability
- Build multicloud data solutions
- Collaborate with architecture product and business teams
- Deliver semantic layers and curated datasets
- Design data pipelines for AI products
- Develop embedding vector and retrieval pipelines
- Engineer ingestion transformation and serving layers
- Evaluate emerging data tools and technologies
- Implement ELT ETL pipelines from multiple sources
- Implement data classification and compliance safeguards
- Implement data governance and data quality workflows
- Ingest from APIs databases files SaaS and streaming
- Mentor engineers and establish data engineering standards
- Optimize compute storage and access controls
- Perform master data management with Semarchy
Perks/Benefits
- Flexible spending accounts
- Life and disability insurance
- Medical, dental, and vision insurance
- Paid vacation and holidays
- Retirement savings plans
- Tuition assistance
Skills/Tech-stack
AI Foundry | AWS | Azure AI | Azure AI Foundry | Azure DevOps | CI/CD | Cleansing | Copilot Studio | Data Catalog | Data Classification | Data Governance | Data Lineage | Data Management | Data Modeling | Data Observability | Data Quality | Dimensional data | Dimensional data modeling | ELT | ETL | Embeddings | GitHub Actions | Google Cloud | Google Vertex | Google Vertex AI | Informatica | Lakehouse | Master Data | Master Data Management | Medallion Architecture | Microsoft Azure | Microsoft Copilot | Microsoft Copilot Studio | Microsoft Fabric | Monitoring | Profiling | Python | RAG | SQL | Semantic layers | Semarchy | Snowflake | Snowflake Cortex | Validation | Vector Databases | Vertex AI
Regions
Countries
States
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