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Build ETL pipelines in and out of data warehouse using Python and Snowflake SQL, and develop scripts using Unix shell for data extraction and loading. Experience in ETL development using Python and Snowflake SQL, and Unix shell scripting.
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Experience or coursework must involve the following: Javascript; React; GoLang or Node JS technologies; RDBMS and NoSQL databases (MySQL or DynamoDB); GIT; Jenkins; Ansible; Public Cloud (AWS or Azure); Python; GraphQL; Unix shell scripting; Agile software methodology, including Scrum, Kanban, and Lean; Docker/Kubernetes; RESTful APIs; Cypress Test Framework.
$124,551 - $144,200 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Experience utilizing or leading implementations leveraging ETL tools (Informatica / Talend), BI Reporting tools such as MicroStrategy, Microsoft Power BI, data modeling tools such as Erwin, Oracle, SQL server, NoSQL, JDBC, UNIX shell scripting, PERL and JAVA, XML/JSON files, SAS , Python, AWS cloud-native technologies, S3, Athena, Redshift.
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AI/ML workloadsPerformance benchmarking Hardware accelerators and specialized devices (GPU, HPU, HPC) Git development workflowKubespray, Kops, or Kubadm Preferred Qualification:Slurm, Volcano, MPI, PyTorch, TensorFlow or other schedulers and AI domain frameworksOn-premises data center networkingCloud development or architecture (AWS, GCP, Azure, etc.
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5 years of experience in below areas:Python, Golang or another modern programming languageLinux based operating systems such as CentOS, Ubuntu, SUSE, or RockyBash shell scripting and Linux command-line acumen2 years of experience in below areas:Software engineering team in a Cloud or on-premises data center environment supporting critical services.
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Linux containers and container runtimes (Docker, containerd, cri-o)KubernetesIP networking, load balancing, DNSPod scheduling and node topology managementEnvironment As Code via configuration management tools such as ansible, terraform, salt, chef, or puppet.
$186,552 - $279,772 a yearFull-timeExpandApply NowActive JobUpdated 3 days ago - UpvoteDownvoteShare Job
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This includes collaboration with other team members to design and build a highly resilient Kubernetes container platform that is optimized for AI workloads on Intel accelerator hardware. The data center is the underpinning for every data-driven service, from artificial intelligence to 5G to high-performance computing, and DCG delivers the products and technologies—spanning software, processors, storage, I/O, and networking solutions—that fuel cloud, communications, enterprise, and government data centers around the world.
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Knowledge on GCP (Google Cloud Platform) and AWS cloud. Knowledge of frameworks like Spring Core, Spring MVC, Spring Boot, Hibernate, JPA, Spring Data, Microservices, Webservices, ActiveMQ, Shell scripting for building web applications and services.
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Experience in the integration of OEM with 3rd party monitoring software using SNMP. Strong experience in large scale migration projects (on-Prem to AWS is a big plus) Strong experience in physical database design, good knowledge of data modeling, and logical database design concepts Strong experience deploying Oracle, MySQL, and/or PostgreSQL in Virtualized environments (e.g., VMWare, Nutanix, AWS, etc.
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Proficiency in a statistical programming language (R or Python preferred) and Unix/Linux shell scripting, experience in AWS cloud computing environment, code management and version control.
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5 Years - Experience with AWS cloud (IAM, EC2, ELB, RDS, S3, LAMBDA) Knowledge of AWS RDS, Aurora, Lambda, NoSQL, Redshift, DynamoDB, S3, and other datastore cloud surrounding technologies.
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You should have experience with traditional and modern technologies and platforms such as AWS, Java, NoSQL databases, Python, REST API, relational databases, Git, JavaScript, Shell scripting, Docker, Jenkins, Terraform, etc.
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Hands on development experience with JAVA, Python, SQL (PL/SQL), XML, HTML, shell scripts and the follow ing frameworks/technologies: Spring, AngularJS, Node js, AWS. In this position you’ll have the opportunity to work on the AI foundations team to integrate AI capabilities with our platforms across multiple cloud solutions (AWS, Azure, and On-prem.
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Deep understanding and experience in Cloud technologies (AWS, Azure, Google Cloud, IBM Cloud, Oracle Cloud). Extensive scripting knowledge and capabilities related to PowerShell, Power-CLI, JavaScript, Python, Perl scripts, and Bash shell scripting.
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