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Proficiency in GCP services such as Cloud Storage, BigQuery, CloudSQL, Dataflow, Composer and others. Knowledge of containerization technologies such as Docker and container orchestration platforms like Kubernetes for deploying and managing containerized applications on GCP.
RemoteExpandApply NowActive JobUpdated 13 days ago - UpvoteDownvoteShare Job
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Good understanding of GCP services such as IAM, and Google Cloud Storage buckets. Experience in large-scale, secure, and high-availability solutions in Cloud environments such as Google Cloud (GCP.
ExpandApply NowActive JobUpdated 2 days ago - UpvoteDownvoteShare Job
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Experience working with Google Cloud SDK and APIs to interact with GCP services programmatically and automate tasks. Experience setting up CI/CD pipelines using tools like GitHub to automate software deployment on GCP.
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Strong knowledge of a cloud platform such as Oracle Cloud Infrastructure (OCI), Amazon Web Services (AWS), Microsoft Azure, or Google Cloud Platform (GCP). Customers can self-service provision virtual machines alongside bare metal servers and clusters on the same virtual cloud networks through a unified web console, APIs, CLI, or via industry-standard tools such as Terraform and Chef. OCI's approach gives the customer choices for storage, such as industry-leading local NVME storage or elastic network block storage.
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Services that are comparable to Wasabi include AWS S3, Microsoft Azure Blob, and Google Cloud Platform (GCP) Storage. The Wasabi technology stack is deployed as Infrastructure-as-a-Service (IaaS) in top-tier data centers in 6 storage regions in the US, EMEA, and JAPAC. The number of storage regions will increase in the future, as well as the features and packaging options associated with the Wasabi service.
Full-timeExpandApply NowActive JobUpdated 1 month ago - UpvoteDownvoteShare Job
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Understanding of serverless computing concepts and experience developing serverless applications using GCP services like Cloud Functions and Cloud Run. Prime Therapeutics Lead Software Engineer - Remote Jackson , Mississippi Apply Now Our work matters.
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Must have : Experience with GCP and Azure Service (GKE, Cloud functions, VPC, Storage and various computing/storage/logging/other services) Role Lead DevOps Engineer (Terraform IaC with GCP & Azure experience.
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They should come in with expertise across GCP, GKE, Terraform and IaC. The candidate will have an extensive technical background, a solid understanding of applicable technologies, and possess technical expertise in the areas including PaaS, Compute Engine, Cloud Storage, Cloud Run, Cloud Security awareness, SRE practice concepts, and Google Cloud services cluster architecture.
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Working knowledge of OpenShift and Kubernetes platforms running on-prem and on public clouds such as AWS, Azure and GCP Expertise in monitoring, performance tuning, and maintaining Kubernetes clusters.
ExpandApply NowActive JobUpdated 2 months ago - UpvoteDownvoteShare Job
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Implement Azure products and services, including Azure Data Lake Storage, Azure Data Factory, Azure Functions, Event Hub, Azure Stream Analytics, Azure Databricks, etc., as well as conventional data warehouse tools, to create data migration and data engineering solutions.
$125,000 - $190,600 a yearFull-timeExpandApply NowActive JobUpdated 3 months ago - UpvoteDownvoteShare Job
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Solid understanding of cloud services like Azure/AWS/GCP, native controls, security center, DDOS protection, cloud firewalls, CASB, express route, cloud data storage, cloud storage, Kubernetes, data sharing related technologies, NetApp, Site recovery, CDN, MS defender, MS Sentinel, AWS EC2, AWS Guard, AWS KMS, Cloud Watch, Lambda, cloud containers, etc.
Full-timeExpandApply NowActive JobUpdated 7 days ago - UpvoteDownvoteShare Job
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Cloud Native: Hands-on experience utilizing cloud platforms (AWS, Azure, GCP) for data processing, storage, and orchestration, optimizing for performance and cost. Data Warehousing Guru: Familiarity with data warehousing solutions like ClickHouse, Redshift, BigQuery, or Snowflake for efficient data storage and retrieval.
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Develop and manage our ClickHouse-based data warehouse, optimizing data storage and retrieval for large datasets. Utilize cloud technologies effectively for data pipeline orchestration, processing, and storage, optimizing for both performance and cost-efficiency.
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As a member of the Data and Analytics organization, you will be responsible for designing, building, and maintaining best-in-class data engineering pipelines aimed at driving best-in-class solutions primarily using Cloud platforms like GCP. You will collaborate with cross-functional teams, including data scientists, analysts, business SME's and software engineers, to ensure the efficient and reliable processing, storage, and retrieval of data.
Full-timeExpandUpdated 4 days ago - UpvoteDownvoteShare Job
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Designing and developing large scale data solutions using GCP services like DataProc, Dataflow, Cloud Bigtable, BigQuery, Cloud SQL, Pub/Sub, Cloud Data Fusion, Cloud Composer, Cloud Functions, Cloud storage, Compute Engine, Looker and Cloud IAM.
Full-timeExpandApply NowActive JobUpdated 10 days ago
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