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Ability to build AWS cloud/Snowflake data solutions and provide technical perspective and expertise on storage, platform services, cloud architecture and RDBMS/ODS database practices (Snowflake and Databricks.
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Industry recognized cloud security qualifications (e.g. CCSK, CCSP, AWS Security Fundamentals, AWS Certified Security) Design and integrate consistent security solutions across CLS on-premise and cloud environments for domains like Vulnerability Management, Endpoint Security, Data Security, Network Security, Identity and Access management, etc.
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In-depth knowledge of big data technologies such as Hadoop, Spark, Kafka, and cloud platforms such as AWS, Azure, GCP, Snowflake, Databricks, etc. Preferred Qualifications:Professional certifications in cloud computing (e.g., AWS Certified Solutions Architect, Microsoft Certified Azure Solutions Architect, Azure Data Engineer, SnowPro Core) and/or big data technologies.
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Detailed understanding of AWS, Google Cloud Platform, Azure, Snowflake resources (e.g. S3, Glue, Blob, EC2, Containers, etc.) Working knowledge of cloud architecture (AWS, Azure, Google Cloud Platform ect.
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Comfortable working in cloud and high-performance computing environments (e.g. AWS, GCP, Databricks, Apache Spark, Snowflake?) Comfortable working in cloud and high-performance computing environments (e.g. AWS, GCP, Databricks, Apache Spark, Snowflake.
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Strong technical proficiency in AWS cloud services, with the ability to design and implement complex solutions. This role requires strong leadership skills, extensive technical knowledge of AWS cloud platforms, and a proven track record of leading successful Proof of Concepts (POCs) and large implementations.
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Strong data science and data engineering background both with open source and cloud distributed machines learning and AI tools especially Azure Cognitive Services, Azure Machine Learning and AWS Sagemaker and Bedrocks.
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Experience with big data technologies (e.g., Hadoop, Spark, Databricks, Snowflake) and cloud platforms (e.g., AWS, Azure). + Proven experience in developing and implementing predictive models (MLOps) in cloud environments such as AWS and Azure is highly preferred.
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Lead solution design on MDM platforms, such as Informatica (on-prem and IDMC), Reltio in conjunction with cloud-native capabilities (AWS, Azure, GCP) cloud -based platforms - Axtria DataMAx, Axtria SalesIQ, Axtria InsightsMAx, and Axtria CustomerIQ - enable customers to efficiently manage data, leverage data science to deliver insights for sales and marketing planning, and manage end-to-end commercial operations.
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Strong to expert knowledge of network Cloud deployments: AWS (VPC, EC2, VGW, TGW, GWLB, SG/NACL) OR Azure (VNET, vWAN, VNG, Load Balancers). Strong and broad technical knowledge and experience with converged infrastructure, switching/routing in a large and complex network, SDN, SASE, SDWAN, Network Automation, Cloud Solutions, 5G, DHCP, DNS, Spine-Leaf architecture, IP (Schema, subnetting, summarization) IP management tools, network management applications, advanced WAN routing, WAN/LAN/Wireless LAN topologies, MPLS and other WAN technologies, traffic shaping / QoS, EIGRP/BGP and firewalls.
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AWS + Snowflake Architect is responsible for designing, implementing, and managing cloud-based solutions on Amazon Web Services (AWS) and Snowflake. Design, implement, and manage cloud-based solutions on AWS and Snowflake.
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Data warehousing, AWS Cloud Business, Intelligence, Informatica and Databricks(data flow design, development, enhancement and maintenance). Python, Databricks, perl, spark , Kubernetes, dockers and other cloud native tools and technologies.
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Lead the design and implementation of complex cloud solutions, leveraging AWS services and tools to optimize performance, cost, and security. AWS certification (e.g., AWS Certified Solutions Architect) required.
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Strong technical knowledge of the AWS Cloud environment, RDBMS concepts and infrastructure management. Comprehensive knowledge of Clinician database development including Medidata Rave and 3rd party systems, highly preferred.
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Looking for a Candidate to be familiar with Cloud Technologies such as OpenStack, Docker Containers, Kubernetes (Setting up Clusters and Networking), Public Cloud (AWS, Azure, Google etc.
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aws cloud jobs in Warren, NJ
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