DevOps Engineer:

Primary Skills AWS (Expert), Azure (Advanced), SQL/SSAS (Intermediate), Databricks (Expert), ADLS/S3 (Advanced) Contract Type: W2 Duration: 6+ Months with possible extension Location: San Jose, CA or Austin, TX Pay Range: $70 - $75 per hour (W2) Job Summary We are seeking a Cloud Data Platform Engineer to establish and oversee our production-scale Databricks environments hosted on AWS and Azure. The role involves managing extensive data storage solutions, coordinating the operation of crucial microservices, and maintaining our SQL and SSAS setups to support our dynamic data platform efficiently. The ideal candidate will innovate through automation, ensure rigorous security standards, and contribute towards enhancing platform usability via GenAI technologies. Key Responsibilities Set up and manage Databricks and SQL/SSAS environments for scalability and efficiency on AWS and Azure. Oversee ADLS and S3 storage solutions, ensuring optimal setup for multi-tenant access within our Data Platform. Facilitate the smooth operation of microservices that support job scheduling, security, and administrative functions. Develop and implement automation tools for better configuration management, service deployment, and proactive monitoring/alerting systems. Collaborate with third‑party vendors for issue resolution, proofs of concept, and product enhancements. Must-Have Skills Proficiency in managing AWS and Azure cloud environments. Expertise in SQL Server, SSAS, and data storage technologies (ADLS, S3). Strong background in implementing security and compliance measures within data‑centric applications. Industry Experience Previous experience in a cloud data platform maintenance or development role, particularly in environments emphasizing security, compliance, and multi‑tenant architecture, will be highly regarded. Knowledge in AI or GenAI technologies integration for user experience enhancement is a plus. Education Requirement BS or equivalent experience in Computer Science, Computer Engineering, or related fields. #J-18808-Ljbffr