We’re seeking an Azure Data Analytics Engineer to lead the development and optimization of cloud-based business intelligence solutions. This role serves as the Azure SME, driving advanced analytics and managing data integrations across multiple sources including on-prem Oracle, Dynamics CRM, and telematics.
Key Responsibilities:
- Data Engineering & Ingestion:
- Build scalable pipelines using Azure Data Factory, Databricks (PySpark), and develop ETL/ELT processes into Azure Data Lake and SQL.
- Architecture & Governance:
- Design solutions using Lakehouse Architecture; apply Unity Catalog for enterprise-wide data governance.
- Data Integration:
- Integrate data from diverse sources (on-prem, cloud, APIs, telematics) ensuring accuracy and reliability.
- Development & Deployment:
- Use GitHub for version control, CI/CD workflows, and collaborative development practices.
- Cross-Functional Collaboration:
- Work with Data Science, EDW, and business teams to deliver scalable solutions and mentor junior engineers.
Required Skills:
- Proficiency with Azure Data Factory, Databricks, Synapse, Python, and PySpark
- Experience with Oracle data integration and cloud-based data architecture
- Knowledge of Unity Catalog, GitHub, and Infrastructure as Code (ARM/Terraform)
- Strong problem-solving, collaboration, and communication skills
Qualifications:
BA/BS or 4–6 years of relevant experience (or equivalent)
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