Cynet Systems
Junior Technical Specialist
Cynet Systems, Raleigh, North Carolina, United States, 27601
Job Description: Responsibilities: 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. 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.