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Hands-on experience and expertise in the capabilities and technical methods to implement solutions in public cloud services (i.e., technical capabilities and methods applicable to AWS, Microsoft Azure, GCP.
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Hands on experience with REST and SOAP service testing using tools like Postman or SoapUI. Microsoft Azure and other cloud technologies. This is a full-time position on a product development team.
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Hands-on experience with data tools and platforms such as Azure, SQL Server, SAP Business Objects, etc. Analytics Data Engineers are innovative working with new cloud native and open source technologies such as the Azure and Google cloud data platforms.
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Hands-on experience with cloud platforms, preferably AWS and Azure, including application deployment and configuration. Deploy and configure applications to cloud platforms such as AWS and Azure, ensuring optimal performance and scalability.
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This role will require significant hands-on work as you identify and implement custom Airflow operators with AWS. As a Lead Engineer at Egen you will deliver a key component of a large modernization project by migrating legacy Control M (xml) jobs to run seamlessly through Airflow DAGs. You will design and scope delivery of the new MWAA (Managed Workflows for Apache Airflow) environment on AWS. The Staff Engineer will also be responsible for leading the onboarding and integration of multiple product teams onto the new Airflow platform.
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5+ years of hands-on experience working with Azure services, including VMs, Azure SQL Database, Azure Functions, Azure Storage, and Azure Networking. Investigate and resolve incidents related to Azure services and on-premises infrastructure.
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You be working in the Card Partnerships Conversion tech team supporting Partner Conversions into Capital One. Looking for someone who is passionate about data and has experience implementing scalable data architectures along with prior hands-on data engineering experience leveraging Scala or Python in building ETL pipelines.
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Hands-on experience with Cloud based platforms (Azure), Ingestion, Data Lake Store, Databricks, ETL pipelines, end user BI tools. Hands-on Experience with Snowflake development to create technical design, write code and unit test.
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Knowledge of IAM and JWT authorization, SSO/OAuth (Azure AD, Okta) Proficiency in Python programming, with a focus on developing Airflow DAGs and custom operators. Required Experience: Airflow expert with experience in setting up and managing MWAA on AWS.
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Hands-on virtualization (Hyper-V and/or VMWare) and Azure experience a plus. Minimum 5 year of hands-on technical experience managing/supporting multi-server and complex network infrastructure environments.
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Data Architect with hands on experience in design/build of the. Must be hands on, deeply technical and exposure to latest features within data platform development. Azure SQL database.
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Hands on experience in Azure Data Factory, Synapse, ADLS and Event Hub. 6+ years of overall technology experience that includes at least 4+ years of hands-on software development, data engineering, and systems architecture.
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Expert knowledge of cloud computing including AWS and/or Azure Dev/Ops Ecosystem to provide hands on solutions including architecture, development, and current and future state on technology roadmap.
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Strong background on establishing quality standards, following appropriate testing methods, tools, and strategies in the release delivery phases. Our strength is built on our ability to work together.
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Headquartered in the U.S., Cognizant is ranked 185 on the Fortune 500 and is consistently listed among the most admired companies in the world. As a QA engineer, your responsibilities will include leading and participating in software testing for product implementations, upgrades,enhancements, defect fixes, and integration projects.
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