Senior Cloud Data Engineer (Teradyne, Costa Rica)
Tasks
- Apply data governance access controls and compliance
- Build ELT ETL pipelines from data sources
- Build automated testing monitoring and observability
- Build data pipelines and integration frameworks
- Define data engineering standards and mentor engineers
- Deliver curated datasets and semantic layers
- Design AI-ready data solutions
- Design and optimize multicloud data solutions
- Develop embedding vector retrieval pipelines
- Implement lakehouse and medallion architectures
- Implement master data management with Semarchy
- Partner with cross functional teams to deliver data roadmap
- Support data cataloging lineage quality and profiling
Perks/Benefits
- Dental insurance
- Health insurance
- Life insurance
- Paid vacation and holidays
- Tuition assistance programs
- Vision insurance
Skills/Tech-stack
AI Foundry | Amazon Web Services | Azure AI | Azure AI Foundry | Azure DevOps | Copilot Studio | Cortex AI | Data Catalog | Data Governance | Data Lineage | Data Management | Data Observability | Data Quality | Data integration | Data profiling | Dimensional 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 | Python | Retrieval-Augmented Generation | SQL | Semantic layer | Semarchy | Snowflake | Snowflake Cortex | Snowflake Cortex AI | Vector Databases | Vertex AI | Web Services
Education
Regions
Countries
States
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