Sr. Cloud Infrastructure Engineer
Sr. Cloud Infrastructure Engineer Location: Remote Duration: Long Term Job Description: Required: More than eight years of relevant technology consulting or industry experience with ability to contribute to an end-to-end Architecture and Solution Should have minimum six years' experience implementing data solutions on the Databricks Data Intelligence platform, to include Delta Lakes Should have min 4 years' experience with SQL and Python Experience leading workstreams or small teams, within complex technology engagements with resources in multiple locations.
Bachelor's Degree or equivalent professional experience Ability to travel up to 50% on average, based on the work you do and the clients and industries/sectors you serve. Limited immigration sponsorship may be available. Preferred: Experience with Cloud using Amazon Web Services (AWS), Microsoft Azure, and/or Google Cloud Platform (Google Cloud Platform) Experience with PySpark, Scala and Java highly preferred.Experience in configuring and deploying applications in a public cloud like Azure/AWS. Very solid understanding and practical experience with implementing Infrastructure as Code using tools like Terraform, CFT or ARM. Expertise and experience with Continuous Integration and Continuous Deployment tools such as GitHub, Artifactory and Jenkins.
Experience with Databricks Unity Catalog Databricks Certifications (ie: Data Engineer Associate; Data Engineer Professional, Machine Learning Associate, Machine Learning Professional) Understanding of emerging technologies (such as GenAI) and advanced data architectures (ie: Multimodal data management & model design, Data Mesh, Data Fabric, Data) Experience working with multi-Terabyte data sets.
Experience with real-time data movement solutions that use security and encryption protocols while data is in transit. Experience collaborating among team members across several geographies. An advanced degree in the area of specialization is preferred.