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Lead and drive collaboration closely with other SGWS teams, including software development, DevSecOps, data engineering, Infrastructure engineering teams, and IT support operations, to ensure seamless integration of cloud services with other systems.
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Lead and drive Generative AI Initiatives within the Cloud Platform team, play a central role in identifying and developing generative AI projects that innovate content creation, enhance decision-making processes, and provide predictive analytics, revolutionizing data interaction across business landscapes.
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Build large-scale batch and real-time data pipelines with data processing frameworks in AWS, Azure or GCP cloud platform. Develop data pipelines / APIs using Python, SQL, potentially Spark and AWS, Azure or GCP Methods.
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Experience with at least one major Massively Parallel Processing (MPP) or cloud database technology (Snowflake, Redshift, Big Query) Basic understanding of AWS or other cloud provider resources (S3.
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Deep understanding of cloud computing principles, including virtualization, containerization, microservices, and serverless computing; Risk Management, RHCOS security, container security, Kubernetes security, IAM security, network security, auditing, encryption, secrets management and data protection, securing CI/CD.
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We are seeking a skilled Sr. Martech Software Engineer with expertise in marketing technology platforms (CRM or CDP) such as Adobe Experience Platform (AEP) or similar (e.g. Salesforce, Dynamics, etc), coupled with strong skills in building custom solutions on AWS, proficiency in API development using languages like Python or Java, and some experience in data engineering.
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Skills: reference data management,system queries,powerapps,business requirements,azure adf,cloud,survivorship rules,enterprise,data quality management,verbal communication skills,powerbi,azure,master data management,data management,data validation,microsoft cloud tools,written communication skills,azure profisee,master data,mdm,azure databricks,management,communication.
$70 an hourExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Cloud technology knowledge and experience, such as Terraform, TFE, AWS, Azure, GCS, OCI or OpenStack. As a Database Platform Reliability Engineer, you will help us deliver automation, feature enhancements and best practice security on our existing hybrid cloud platforms.
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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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Large scale implementation and migration experience of Data Center to Cloud Infrastructure automation through DevOps scripting (Ansible, Shell, Python, Ruby, PowerShell)· Hands on experience in terraform IaC deployments.
$51 - $64 an hourRemoteExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Experience delivering solutions across multiple cloud-based solutions including Azure, and AWS, and deploying to iPaaS solutions such as MuleSoftExperience in the following tools and technologies: Atlassian Confluence, SonarQube, LucidChart, Ansible, Terraform, Kubernetes.
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IAM Solutions: Experience with IAM solutions and services provided by cloud providers (e.g., AWS Cloud IAM) as well as third-party IAM solutions. Experience with Hashicorp Vault and AWS Cloud KMS. Experience with AWS cloud identity.
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Use your infrastructure and networking knowledge to maintain cloud-based infrastructure (predominantly on AWS) involving EC2, S3, RDS & VPC. Use configuration management tools (Ansible and Terraform) to build and maintain a hybrid infrastructure hosted both at colocation facilities and in the public cloud.
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Configure and manage resources in the local and AWS cloud environments and deploy QRM's software on these resources. Good command of database technology and query languages (SQL) and non-relational DB and other Big Data technology, including efficient storage and serialization protocols (eg Parquet, Avro, Protocol Buffers.
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Hands on experience with big data frameworks and modern data technologies (Snowflake, dbt, Airflow, Tableau, SQL) Preferred knowledge of tools commonly used in AI development, such as popular ML libraries (TensorFlow, PyTorch), NLP tools, and cloud platforms for running AI models.
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