Title: Databricks Engineer & Analytics
Location: Cincinnati, OH
Duration: Long term
Job Details
Role Description
A Data bricks developer to design, develop, and maintain Data bricks pipelines
Required Skills
5+ years of managing and administering the Databricks environment, including clusters, workspaces, and notebooks, to ensure optimal performance, reliability, and scalability.
Write clean, modular Python code for data processing, orchestration, automation, and integration with internal and external systems.
Implement and tune Spark jobs for performance, reliability, and cost-efficiency, including partitioning, caching, and cluster configuration.
Admin capabilities to setup infrastructure in cost effective way.
Configure and optimize Databricks clusters and resources based on workload requirements and best practices.
Monitor system performance, resource utilization, and availability using Databricks monitoring and logging tools. Preferably Dynatrace.
Troubleshoot and resolve issues related to Databricks infrastructure, security, and integration with other systems.
Implement and enforce security best practices to protect data and resources in the Databricks environment, including authentication, authorization, encryption, and data governance.
Nice-to-have Skills
2+ plus years of experience in designing, developing, and maintaining business intelligence solutions in Power BI
Study, analyze and understand business requirements in context to business intelligence.
Convert business requirements into technical specificities
Design, develop, and deploy BI solutions such as reporting tools
Build analysis services reporting models
Establish row-level data security while comprehending Power BI's application security layer models.
Integrate and alter the data while connecting and updating it from different sources.
Develop dynamic and attracting dashboards and reports using Power BI
Experience in Retail is desired, not mandatory
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