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We are working on challenging projects, migrating ETL jobs from Talend to DataBricks, building workflow automation solutions using Microsoft Power Platform, data flows with Azure data lake storage and DevOps environment set up.
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Hands-on experience using IaC software tools (CloudFormation, Terraform, Azure Resource Manager, GCP Cloud Deployment Manager etc) and CI/CD tools (IDEs, GitLab, GitHuB, Jenkins, CircleCI, etc.
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3-5 years of hands-on experience with Microsoft Azure cloud services and infrastructure management. Key Responsibilities: Design, deploy, and manage scalable, secure, and resilient cloud infrastructure on Microsoft Azure.
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At least 1 year experience with cloud computing (AWS, Microsoft Azure, Google Cloud) 4+ years of experience with a public cloud (AWS, Microsoft Azure, Google Cloud) As a Capital One Lead Data Engineer, you'll have the opportunity to be on the forefront of driving a major transformation within Capital One.
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Deep understanding of Microsoft Azure & Synapse/Fabric, SnowFlake, AWS and other large data platform technologies. with a focus on Data, finance, ERP and/or digital solutions a significant plus.
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All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, age, national origin, or protected veteran status and will not be discriminated against on the basis of disability.
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4+ years of experience with AWS, GCP, Microsoft Azure, or another cloud service. As a Capital One Senior Lead Software Engineer, you’ll have the opportunity to be on the forefront of driving a major transformation within Capital One.
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Hands-on experience deploying and maintaining infrastructure in public cloud AWS or Azure/Google Cloud Platform. (Plus) Hands-on experience with Sysdig and containerized security.
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Additional cloud-based certifications to credentialize but do not currently meet the rigor of the certification requirement above: CCSP – CCSK – Certificate of Cloud Security Knowledge CCAK – Certificate of Cloud Auditing Knowledge Microsoft Certified: Azure Fundamentals AWS Certified Cloud Practitioner Google Cloud Digital Leader What we look for We’re looking for passionate leaders with strong vision and a desire to stay on top of trends in the risk industry.
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Strong background in platforms and tools such as OpenAI, Azure Semantic Kernel, AWS Bedrock, and other machine learning technologies, with a focus on Generative AI and open-source AI frameworks.
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Hands-on experience in performance tuning techniques. Familiarity with modern ETL integration solutions (SSIS, Ab Initio, Datastage, Informatica, Azure Data Factory). Experience with Cloud data warehouse technologies (Azure Data Warehouse, Amazon Redshift, Snowflake.
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Utilizes technical knowledge of existing and emerging technologies, including public cloud offerings from Amazon Web Services, Microsoft Azure, and Google Cloud. Hands-on experience developing Integrations between Oracle Cloud ERP and other applications.
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Hands on experience in building solutions using cloud native services (Azure, GCP preferred) Position SummaryAs a Lead ML/AI Engineer, you will drive the design and implementation of functionality related to the end-to-end ML/AI and Feature lifecycle management on Azure/Google Cloud Platform, leveraging and integrating the cloud native services with other standard operational and automation tools.
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Familiarity with TeamMate, Tableau, Alteryx, IDEA, ACL/Galvanize, Workday, Guidewire, Workiva, Power BI, and productivity tools such as Microsoft Office. Kemper is focused on expanding our Diversity, Equity and Inclusion efforts to align with our vision, mission, and guiding principles.
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Exposure to cloud providers (AWS, Google Cloud Platform, Microsoft Azure), virtualization and security management preferred. To be successful, you are organized, resourceful, possess domain knowledge on NIST CSF, PbD principles and security compliance and have a “can-do” attitude.
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hands on microsoft azure jobs Title: security engineer test in Chicago, IL
FEATURED BLOG POSTS
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The summer had economists from around the globe embroiled in a debate about a possible recession coming in the next few years (or months). As of October 2022, the U.S. Labor Department data put the current inflation rate at 7.7%. The recent layoffs in the tech industry are just the first of what is soon to be a string of cutbacks by companies looking to save costs. For recruiters, this means freezes in hiring and fewer openings. It will also include the uphill task of finding the best candidates for them from the coming influx of recently laid-off job seekers. Now is probably a good time to brace for tough times in the next few years in the talent acquisition industry. To survive and thrive recruiting in a recession, here are some hard truths you will need to accept.
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Talent acquisition is a multi-stage process where candidates undergo various application steps before getting hired. The unfortunate reality is that it is a labor-intense system, with the hiring manager and recruiter often handling all of the work on their own. Ask any one of them, and you will hear about the overabundance of applications and the demanding task of filtering through them to find the best candidates. The quality of talent suffers under the weight of all that work on one person's hands. It's not easy, but as many companies are starting to realize, there is a better way. The future of talent acquisition lies in collaborative recruiting!
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For better or worse, a side effect of the COVID-19 pandemic was a marked shift in talent acquisition practices worldwide. With the struggle to retain talent that began in 2020, companies have had to rethink recruitment strategies. The result has been new talent acquisition trends that are well on their way to becoming commonplace. These are the practices that are going to become even more widespread going into 2023.