Senior Data Engineer, Global
Tasks
- Collaborate with business stakeholders to deliver data and AI solutions
- Design scalable secure data pipelines
- Develop data models and curated datasets
- Evaluate emerging technologies and assess technical risk
- Implement data quality governance security practices
- Integrate AI capabilities into data platform
- Maintain technical documentation
- Optimize data platform performance
- Participate in architecture discussions and code reviews
- Provide technical leadership and mentor engineers
Perks/Benefits
- 401k matching
- Dental insurance
- Employee assistance program
- Flexible work policy
- Health insurance
- Life insurance
- Long-term disability
- Paid time off
- Short-term disability
- Technical mentorship
- Vision insurance
Skills/Tech-stack
AI Foundry | AI Search | API Management | Agile | Azure AI | Azure AI Foundry | Azure AI Search | Azure API | Azure API Management | Azure Data | Azure Data Factory | Azure Data Lake | Azure Data Lake Storage | Azure Data Lake Storage Gen2 | Azure Databricks | Azure DevOps | Azure Functions | Azure OpenAI | Azure SQL | Azure SQL Database | Azure Synapse | CI/CD | Cognitive Services | Data Factory | Data Governance | Data Lake Storage Gen2 | Data Modeling | Data Quality | Data Security | Dimensional Modeling | ELT | ETL | GitHub | Jira | Logic Apps | Microsoft Project | PostgreSQL | Power Apps | Power BI | Python | SQL | SQL Database | Snowflake Schema | Star Schema
Education
Bachelor of Engineering | Bachelor of Science | Bachelor of Science in Computer Science | Bachelor of Science in Data Analytics
Roles
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