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Google Cloud Platform, AWS, Azure); Exhibiting proven knowledge of IT Service Management and how it is implemented across different operating models. ; Building data processing pipelines to integrate large datasets from multiple sources and formats, in both streaming and batch mode; Designing and developing data pipelines from ingestion to consumption within big data architecture using Python, Java, SQL etc.
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Hands on recent and relevant Data and Analytics architecture design, implementations (AWS, Azure), Snowflake, Event Streaming Platforms(kafka. A background in Data Architecture and experience with Cloud technologies (AWS/Azure) is essential.
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Comprehensive experience with multiple toolsets and technologies: Microsoft Active Directory, Microsoft Exchange, Microsoft Office 365, Windows Severs, Linux Servers, AWS SysOps, VMware vSphere (ESXi)/NSX, Dell Hardware, Rubrik, Solarwinds monitoring, Azure, AWS, other Cloud based computing.
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Experience in Web Service development of SOAP (WCF) and REST based services, Entity Framework Experience in Database development using SQL, Oracle, MS SQL Server, Complex T- SQL, Linked Server Experience in agile development and automated deployment using Azure DevOps Familiarity with SQL Server Reporting Services, SQL Server Integration Services (SSIS) Proficient understanding of code versioning tools, such as Git Familiarity with JavaScript frameworks such as Angular JS, React.
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Comprehensive experience with multiple toolsets and technologies: Microsoft Active Directory, Windows Severs, Linux Servers, AWS SysOps, VMware (ESXi)/VCF on VxRail, Dell Hardware, Rubrik, Solarwinds, Azure, AWS, other Cloud based computing.
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Utilize programming languages like Java, Python, SQL, Node, Go, and Scala, Open Source RDBMS and NoSQL databases, Container Orchestration services including Docker and Kubernetes, Application Architecture like microservices, API, and realtime streaming, ETL and Data Engineering technologies like PySpark, Glue, Snowflake, and a variety of AWS tools and services.
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6 year(s) of relevant experience in IT architecture and 2+ years experience with operating system security for Windows, UNIX, Middleware or Oracle/SQL databases. Microsoft Azure Solutions Architect, or AWS Solutions Architect.
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CI/CD pipelines implementation using Azure DevOps or similar platforms. Experience with Application and service modernization including migration to cloud (e.g., AWS, Azure, GCP) Building solutions with a focus on Service architecture (e.g., microservices, SOA.
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Looking at technologies like, Kafka, Kubernetes, Azure. Support the rebuilding of our financial systems and contribute to the design and architecture of an aspirational future state. NET Core, SQL Server, Refactoring, APIs and event driven architecture.
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Practical use of cloud architecture, especially using orchestration services such as Kubernetes, docker compose, or ECS. Experience with Azure DevOps. AWS cloud architecture. ADP has a deep commitment to diversity, equity, and inclusion as a global Best Places to Work, DiversityInc Top 50 Company, Best CEO and company for women, LGBTQ+, multicultural talent, and more.
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Assist in the implementation a Azure Zero-Trust Architecture as a core part of all design and development of the cloud solution. Design security solutions for Azure cloud environments including leading architecture reviews for decision records.
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Title: Lead (Azure) DevOps Engineer. Skills: Solution design & development to support program roadmaps; and promoting solution best practices leveraging cloud-native architecture and DevOps.
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Hands on experience working with major cloud platforms (Microsoft Azure, AWS, Salesforce, etc.) Hands on experience with cloud-native architecture and DevOps, including but not limited to microservices, containers, and low code technologies.
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Expert: Azure Data Factory, Databricks, Spark, Azure SQL Database, Azure DevOps/Git, Data Lake, Delta Lake/Lakehouse architecture, Power BI. Working Knowledge: Azure WebApp, Azure Networking concepts.
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Knowledge of data architecture, big data architectures, experience of building solutions on Azure, AWS, GCP, Multi-threaded data processing on CPU and GPU architectures. Experience in creating enterprise data models with a comprehensive understanding of Data Warehousing/Analytic services to deliver end-to-end architecture.
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