Lead Data Engineer
USD 136K-185K (estimate) Senior-level Full Time
Tasks
- Build automated testing
- Collaborate with architects and data modelers
- Collaborate with product to gather business needs
- Define data quality rules
- Design build maintain data pipelines
- Develop data ingestion transformation storage and data management
- Develop deploy document AI solutions
- Document technical artifacts
- Enforce coding standards and produce production code
- Establish data engineering best practices
- Implement infrastructure-as-code
- Integrate AI trends to improve performance
- Lead data engineering team
- Manage data ingestion transformation distribution
- Mentor engineers and provide technical leadership
- Set up observability/monitoring
Perks/Benefits
Skills/Tech-stack
ADLS | AI Search | Agile | Apache Airflow | Automated testing | Azure | Azure Blob | Azure Blob Storage | Azure Data | Azure Data Factory | Azure OpenAI | Blob Storage | CI/CD | Data Factory | Generative AI | Guardrails | Informatica | Infrastructure as Code | LLM Evaluation | LLMs | Observability | Prompt engineering | Pydantic AI | Python | RAG | SQL | Snowflake | Tableau | Talend | Temporal | Vector Search | “as-code”
Education
N/A
Roles
AI Engineer | Data Engineer | Data and AI Engineer | Engineer | Lead | Lead Data | Lead Data Engineer | Lead Data and AI Engineer
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