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Databricks Administrator

Salary undisclosed

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Dice
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Simplified

Job ID: NC-749745

Hybrid/Local Databricks Administrator/Architect(Certified) with SQL Analytics, Delta Lake, Azure, SSIS AWS, Google Cloud Platform, Python, PySpark, GIT and CDC Experience

Location: Raleigh, NC(NCDOT)
Duration: 12 Months

Skills:
Extensive hands-on experience implementing Lakehouse architecture using Databricks Data Engineering platform, SQL Analytics, Delta Lake, Unity Catalog Required 5 Years
Strong understanding of Relational & Dimensional modeling. Required 5 Years
Demonstrate proficiency in coding skills Python, SQL, and PySpark to efficiently prioritize perf, security, scalability, robust data integrations. Required 6 Years
Experience implementing serverless real-time/near real-time arch. using Cloud (i.e., Azure, AWS, or Google Cloud Platform Tech Stack), and Spark tech (Streaming & ML) Required 2 Years
Experience Azure Infra config (Networking, architect and build large data ingestion pipelines and conducting data migrations using ADF or similar tech Required 4 Years
Experience working w/ SQL Server features such as SSIS and CDC. Required 7 Years
Experience with Databricks platform, security features, Unity Catalog, and data access control mechanisms. Required 2 Years
Experience with GIT code versioning software. Required 4 Years
Databricks Certifications Desired

Job Description:
*Provide mentorship, guidance, overall knowledge share, and support to team members, promoting continuous learning and development.
*Oversee the design, implementation, and maintenance of Databricks clusters.
*Ensure the platform s scalability, performance, and security.
*Provide escalated support and troubleshooting to users.
*Oversee maintenance of role-based access to data and features in the Databricks Platform using Unity Catalog.
*Review clusters health check and best practices implementation.
*Review and maintain documentation for users and administrators.
*Design and implement tailored data solutions to meet customer needs and use cases, spanning from ingesting data from APIs, building data pipelines, analytics, and beyond within a dynamically evolving technical stack.
*Work on projects involving on-prem data ingestion into Azure using ADF.
*Build data pipelines based on the medallion architecture that clean, transform, and aggregate data from disparate sources.

Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.
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