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Data Acquisition (ADF, ADL, Azure SQL, Databricks, COSMOS, Kusto loading, Azure functions) Microsoft Azure Data Factory. Microsoft Azure Data Lake Analytics.
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NET Core) and ASP.NET Experience developing single-page web applications using either Angular 7+ or React Demonstrated experience in Azure based solution implementation, including: Azure technologies, such as: Azure Logic Apps, Azure SQL and Azure Service Bus and Azure API Manager Azure DevOps and Visual Studio for code development, management, repositories and deployments (CI/CD) integrating custom built apps with third-party systems, including Microsoft Dynamics 365 CRM.
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KEY QUALIFICATIONS: Python, SQL Data processing, ML experience Data Warehouse knowledge ETL pipeline knowledge Data Engineering Data Science Data Analytics, Data Mining PLEASE HAVE KNOWLEDGE OF ONE OR MORE OF THE FOLLOWING TECHNICAL SKILLS: Kubernetes, Tableau, PowerBi MongoDB Microsoft Cloud Services like Azure and AKS Snowflake SQL Server data platform Software development (including design, implementation, testing, and change management.
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At least 1 year experience with cloud computing (AWS, Microsoft Azure, Google Cloud) Utilize programming languages like Java, Python, SQL, Node, Go, and Scala, Open Source RDBMS and NoSQL databases, Container Orchestration services including Docker and Kubernetes, and a variety of AWS tools and services.
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Microsoft Visual Studio, Azure DevOps, Git Version Control, SQL, JSON Serialization, Entity Framework Code, Serilog, Hangfire, Polly, NSwage, xunit, C#, Java script, XML, HTML, TypeScript, Web Services, CI/CD and Scrum methodology.
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New York City (Hybrid On-Site): $201,400 - $229,900 for Lead Software Engineer. 2+ years of experience with AWS, GCP, Azure, or another cloud service. This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI.
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Desired Qualifications ServiceNow Certified Application Developer Certification ITIL v certification Experience in working with cloud technologies, including Amazon Web Services (AWS) or Microsoft Azure Experience with relational databases such as MySQL, Oracle, and SQL Server Key Responsibilities Determine and implement solutions for new features, capabilities, and tools integrations with ServiceNow to address key system requirements for the mission.
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Lead Software Engineer, Back End (Python, AWS) 7+ years of experience in at least one of the following: Java, Scala, Python, Go, or Node.js. Lead a portfolio of diverse technology projects and a team of developers with deep experience in distributed microservices, and full stack systems to create solutions that help meet regulatory needs for the company.
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Solid experience in working with Microsoft Azure and strong knowledge about ADLS, Blob Storage, Data Factory, SQL Servers, and Cloud Data Warehouses (Snowflake, Data Bricks, Redshift, BIG Query.
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Lead Software Engineer, Back End, Bank Tech. At Capital One, you'll be part of a big group of makers, breakers, doers and disruptors, who love to solve real problems and meet real customer needs. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC.
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Prior demonstrated AI/ML development and deployment in independent environments and Microsoft Azure development experience including requirements gathering, design, and deployment of reporting solutions.
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Required Skills: Technical skill: Python, PySpark, ADF, SQL, ADLS, Microsoft Azure, Azure Databricks, Azure Synapse. Role: Lead Azure Data Engineer Location: Blue Ash, OH (Hybrid) Duration: 6 Months Exp: 12 Years Job Description We are seeking a Sr. Data Engineer who need to join our dynamic and fast-paced team.
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Advance level proficiency with Microsoft Office include Word, Excel, Power Point, Visio, SQL, MS Dynamics 365 F&O, Power BI, Azure DevOps and Planview. Please see position details below: This is Hybrid position (in office and work from home.
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Qualifications Salesforce experience Minimum 5 years’ experience leading Enterprise Salesforce implementation Experience with SFDX and Salesforce Development Lifecycle Azure DevOps experience Azure DevOps best practices Understanding of Azure Licensing and Costing is a plus.
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At least 2 years of experience with AWS, GCP, Microsoft Azure, or another cloud service. Utilize scripting languages like Python, SQL, Ruby and Groovy, Container Orchestration services including Docker and ECS, CM tools including Ansible and Terraform, and a variety of AWS tools and services.
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