Job Description :

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.
             

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