| Analytics Cloud Engineer at Remote, Remote, USA |
| Email: [email protected] |
| From: saloni chaurasia, tekinspirations [email protected] Reply to: [email protected] Hi, I Hope you are doing great. Please find below position if you have any matching candidate as per requirement. Please send me updated resume with candidate information. Analytics Cloud Engineer Location: Remote Duration: 12+ months Need East Coast Candidates Job Details: (Need 4-5 years of profile) Designing and building a robust data science platform for machine learning operations (MLOps) is a huge challenge as our client transitions from on-prem to cloud infrastructure. This position is an opportunity for an experienced cloud engineer to develop expertise in implementing modern data science capabilities. You will be working with a team of technical data scientists and cloud engineers to build out our new cloud-based data science platform. Many of the core capabilities are already developed and being used. Our client is now focused on their data landscape, bringing together data virtualization, data mesh, and data federation capabilities. Alongside data access, they need to implement modern data catalog and data governance systems. The candidate hired for this position would support vetting new tools and services, implementing concepts, and developing best practices and training. The role will require understanding our users needs, learning the workings of our client's disparate data warehouses, vetting and developing appropriate and cost effective tools. Qualifications: Cloud experience Azure is required . Particularly understanding infrastructure as code designs, data virtualization, and data cataloging. Proficiency with Python Three or more years of experience in architecting, designing, developing, and implementing cloud solutions on cloud platforms (Azure) Experience building end-to-end systems as a Platform Engineer, Client DevOps Engineer, or Data Engineer (or equivalent) Experience in several of the following areas: database architecture, ETL, business intelligence, big data, machine learning, advanced analytics Proven ability to collaborate with multidisciplinary teams of business analysts, developers, data scientists, and subject-matter experts Experience implementing data virtualization technologies Experience working with cloud computing and database systems Experience managing cloud storage technologies (blob, table, file, queues, and services) Strong software engineering skills in complex, multi-language systems Preferred experience with Python, Docker, Terraform, Purview, Azure Data Factory, and other Azure services Experience building custom integrations between cloud-based systems using APIs Familiarity with one or more data-oriented workflow orchestration frameworks (KubeFlow, Airflow, Argo, etc.) Strong understanding of software testing, benchmarking, and continuous integration Ability to translate business needs to technical requirements Education & Experience Bachelor's or Master's degree in computer science, information technology, or mathematics 3+ years experience building production-quality software. Knowledge of web services, API, REST, and RPC Cloud certification preferred (Azure, GCP) Responsibilities: Develop and implement technical efforts to design, build, and deploy Azure applications, including large-scale data processing, data virtualization technology, and advanced analytics Translate requirements from technical and non-technical data scientists to appropriate cloud engineering requirements Interact with data storage technologies such as relational databases, NoSQL, and data lakes Vet and deploy cloud-based technologies such as data mesh, data catalog, and automatic governance systems Design and develop workflows to automate the deployment of applications and infrastructure environments Connect systems to remote data warehouses for data extraction using API and JDBC Connectors Apply engineering rigor and best practices to machine learning, including CI/CD , automation, etc. Research and explore new technology patterns and frameworks, implement standalone reference applications or apply to existing problems Troubleshoot incidents, identify root causes, fix and document problems, and implement preventive measures Collaboratively interface with teams to understand technology strategy, including new applications being authored, and backlog of enhancements to existing applications Educate teams on the implementation of new cloud-based initiatives, providing associated training when necessary Demonstrate exceptional problem-solving skills, with an ability to see and solve issues before they affect business productivity Work with new and existing vendors, gathering industry intelligence and bringing in expertise from external parties Regards, Saloni Chaurasia { Technical Recruiter } TEK Inspirations LLC Pvt. Ltd. | 13573 Tabasco Cat Trail, Frisco, TX 75035, United States E-Mail: [email protected] Keywords: continuous integration continuous deployment Texas |
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| Wed Mar 13 23:06:00 UTC 2024 |