Your Role
Join our innovative Advanced Analytics team, dedicated to delivering cutting-edge Predictive and Prescriptive Analytics, Generative AI applications, and advanced statistical models to elevate our business operations. As a Cloud Solutions Consultant, you will work closely with the Director of Advanced Analytics, playing a crucial role in designing, building, and maintaining continuous integration and continuous delivery (CI/CD) pipelines. You will ensure embedded testing and secure deployment of cloud-based workloads while implementing automation through infrastructure-as-code solutions for both routine and complex tasks.
Your Knowledge and Experience
Over 7 years of hands-on experience administering and designing a wide range of cloud services across Azure, GCP, and AWS.
Expertise in DevOps environments with a strong grasp of GitOps principles.
5+ years of practical programming/scripting experience (e.g., Python, Go, Ruby) and software configuration management tools (e.g., Ansible).
5+ years of experience in Linux and/or Windows Administration.
3+ years of experience managing container orchestration solutions.
5+ years of hands-on experience with monitoring and logging tools (e.g., Azure Monitor, Splunk).
Solid understanding of cloud architecture solutions related to data, machine learning, and artificial intelligence.
In-depth knowledge of Data-lake concepts (raw, enriched, curated layers) and ETL processes within the Azure framework.
Experience implementing large-scale data and analytics platforms.
Proven expertise in architecting and building data platforms on Azure.
Experience in architecting and establishing data platforms on Databricks from the ground up.
Extensive hands-on experience (6-8+ years) with Azure Databricks, Unity Catalog, Delta Lake, and Azure Cloud Architecture.
#LI-CP3
Expertise in DevOps environments with a strong grasp of GitOps principles.
5+ years of practical programming/scripting experience (e.g., Python, Go, Ruby) and software configuration management tools (e.g., Ansible).
5+ years of experience in Linux and/or Windows Administration.
3+ years of experience managing container orchestration solutions.
5+ years of hands-on experience with monitoring and logging tools (e.g., Azure Monitor, Splunk).
Solid understanding of cloud architecture solutions related to data, machine learning, and artificial intelligence.
In-depth knowledge of Data-lake concepts (raw, enriched, curated layers) and ETL processes within the Azure framework.
Experience implementing large-scale data and analytics platforms.
Proven expertise in architecting and building data platforms on Azure.
Experience in architecting and establishing data platforms on Databricks from the ground up.
Extensive hands-on experience (6-8+ years) with Azure Databricks, Unity Catalog, Delta Lake, and Azure Cloud Architecture.
#LI-CP3