Azure Engineer
SPECTRAFORCE
Job Description
Job Title: Senior Azure Databricks Engineer
\nDuration: 12 months
\nLocation: Glendale, AZ 85301
\nExperience: 8 to10 years
\n \nRequirements
\n- \n
- At least 8-10 years of experience in designing and implementing enterprise data platforms; \n
- At least 5 years of hands-on experience hands-on Azure Databricks experience in enterprise environments; \n
- Experience with architecting modern Lakehouse solutions using Azure Databricks and Delta Lake; \n
- Experience in administering Azure Databricks workspaces, clusters, Unity Catalog, compute policies, job orchestration, and workspace security; \n
- Experience in developing data engineering solutions using Apache Spark (PySpark and/or Spark SQL); \n
- Experience in implementing enterprise data governance utilizing Unity Catalog, metadata management, data lineage, and fine-grained access controls; \n
- Experience designing and working with enterprise security architectures including RBAC, Managed Identities, Private Endpoints, Key Vault integration, encryption, and network security; \n
- Experience implementing enterprise data quality frameworks, monitoring, observability, and operational dashboards; \n
- Strong understanding of data modelling techniques including dimensional modelling, Data Vault, medallion architecture, and enterprise data warehouse concepts; \n
- Strong knowledge of Azure Data Lake Storage Gen2, Azure Key Vault, Azure Monitor, Microsoft Entra ID (Azure AD), and Azure networking; \n
Vacancy posted 5 days ago
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