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Experience with cloud-based technologies: Azure Synapse, DataBricks. They will build pipelines and workflow tools that leverage SQL, Python, Microsoft Azure Synapse Analytics (ASA), and Microsoft Power Platform to support multiple audits.
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Mandatory experience in Workday integrations – Enterprise Interface Builder (EIB), Workday Studio – inbound and outbound, Cloud Connect (PECI, CCW, CCB). Works on continuously improving the user experience by applying better technology and process and making sure that the voice of the customer is reflected in proposed solutions.
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Experience with big data platforms and cloud (Snowflake, AWS, Azure, etc) A minimum of six years' experience in providing complex consultative services in the following focus areas: information strategy, big data architecture, information/data governance, master data management, data quality, data integration particularly in a life science or healthcare setting.
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Relevant Business and IT Architecture Certifications such as, AWS Solution Architect Professional, Microsoft AZURE Solution Architect, Scaled Agile Framework (SAFe) etc. Knowledge of major Cloud Provider infrastructure and technologies, such as AWS, Azure, Google Cloud, Docker / Kubernetes.
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Provide software development knowledge with respect to cloud architecture, design patterns and programming. SitusAMC is on a Digital Transformation journey to implement and automate the infrastructure, platform creation through IaC integrated with Azure DevOps as the template repo.
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Minimum of 3 years of experience with Cloud databases – AWS Redshift, Snowflake, Azure SQL database, Google Cloud SQL or similar. The Sr. Data engineer’s responsibilities include collaborating with internal and external stakeholders to identify data ingestion, processing, ETL, data warehousing requirements and develop appropriate solutions using modern data engineering stack in cloud.
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Cloud Architect Certification (GCP, AWS, Azure) Understands Cloud Concepts for GCP, AWS, Azure Cloud, as well as Cloud Service Provider (CSP) billing and cost structures.
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The role of the Cloud Engineer will be responsible for the design and implementation of Azure architecture, components, and environments. The Cloud Engineer will demonstrate knowledge of Cloud Architecture best practices, Cloud Security, Cloud Infrastructure monitoring & tuning.
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Solid understanding of Database Design Principles, Data Modeling and Data Warehousing including experience with SQL and NoSQL databases, Big Data technologies, industry leading Cloud Storage solutions, Business Intelligence platforms, dashboards, data mining and visualization tools (Power BI.
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Experience, or desire to learn, a testing framework such as Cypress Experience, or desire to learn, cloud services in AWS and Azure Experience, or desire to learn, SQL and NoSQL databases.
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2+ years working with tools such as Atlassian (JIRA/Confluence), Clarity and/or Cloud-based platforms (Amazon Web Services, Microsoft Azure or Google Cloud) Ability to self-manage, recognize and actively address challenges, mediate issues, develop solutions, and implement appropriate courses of action.
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You will ensure the performance, reliability, and security of our cloud-based data systems, utilizing GCP services and tools to build and optimize our data architecture and processes. Strong understanding of cloud infrastructure and data architecture principles.
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You will work with Technology and Software Platform teams to provide solutions for cloud infrastructure across the Ford Enterprise, including hosting, computing, databases, and networks.
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Advanced proficiency in cloud-based SQL Environment (BigQuery, Snowflake or RedShift), SQL, and at least one object-oriented language. Experience with continuous integration & delivery (Azure DevOps, JIRA, etc.
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Cloud sysadmin operating skill (e.g., Azure, AWS) Server operating systems (e.g., Windows, Linux). Proven experience and proficiency with below compute technologies and related activities: Technology solutions: Dell and HPE server Cisco UCS VMWare vCenter Products Nutanix HPE Storage (MSA, Nimble) Storage Cashing Technology (Nasuni, Talon, Pandora) Object Storage (EMC ECS, Azure, AWS) Archive product (Komprise, HubStore, Enterprise Vault) Backup Product (Veeam, Networker, DataDomain, Avamar, NetBackup, Commvault) Server sysadmin or similar role with in-depth hardware knowledge.
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