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Experience with cloud computing platforms (GCP, AWS, Azure) Knowledge of cloud computing platforms (GCP, AWS, Azure) Experience with Databricks, Snowflake, AWS Redshift, Google Big Query, Azure Synapse.
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Working knowledge and experience in one or more cloud provider/solutions such as Snowflake, Databricks, Microsoft Azure, AWS, and GCP. Working knowledge and experience in one or more cloud provider/solutions such as Snowflake, Databricks, Microsoft Azure, AWS, and GCP.
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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, Cloud IAM, etc.
Full-timeExpandApply NowActive JobUpdated 8 days ago - UpvoteDownvoteShare Job
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Required experience/skills: Snowflake, Kafka, Rest Services, Spark, Basic Networking Concepts (Routing, TCP/IP, DNS, Firewalls and Security), AWS Technologies (S3, SNS, SQS, IAM), GCP (BigQuery.
$106,700 - $177,900 a yearFull-timeExpandUpdated Yesterday - UpvoteDownvoteShare Job
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Familiarity with cloud-based platforms for computer vision development and deployment (e.g., AWS, GCP, Azure). Experience with computer vision libraries like OpenCV and deep learning frameworks like TensorFlow or PyTorch.
ExpandApply NowActive JobUpdated 27 days ago - UpvoteDownvoteShare Job
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Experience with configuring, deploying, and operating public cloud services (e.g., Azure, AWS, GCP) The company brings together identity governance (IGA), granular application access, cloud security, and privileged access (PAM) to secure the entire business ecosystem and provide a frictionless user experience.
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Experience in building and operating applications running on Public cloud environments (AWS, Azure, GCP) including DevSecOps practices. Experience with Data Lake & Integration platforms, particularly SaaS solutions like Snowflake or Google BigQuery is a plus.
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Cloud certifications such those from GCP, Azure, Oracle, Tata, etc. Work as a platform administrator (AWS, GCP, Azure, etc.) Experience with third-party solutions and services commonly used in the live broadcast media and entertainment industry.
$135,000Full-timeExpandUpdated Yesterday - UpvoteDownvoteShare Job
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2+ years of experience with AWS, GCP, Azure, or another cloud service. Utilize programming languages like Javascript, Python, SQL, and Node, Open Source RDBMS and NoSQL databases, Container Orchestration services including Docker and Kubernetes, and a variety of AWS tools and services.
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Familiar with cloud technologies such as GCP, AWS, Azure. Good knowledge of Threat Intelligence, Cloud Security, Network Security, Identity and Access Management. Member of the Consulting Systems Engineering (CSE) team which covers INTL region (EMEA and APAC.
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Previous experience with proxy implementation on GCP Apigee is highly preferred. Experience with Apigee or Custom Portal, Portal customization and integration with Apigee Edge using, Drupal, NodeJS, JavaScript etc.
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Experience architecting IAM solutions within on-premises environments and other cloud providers, preferably (Microsoft Azure or GCP. The position requires someone with direct hands-on experience implementing and supporting multiple components of the Ping One Identity suites (Ping One, Ping Davinci,PingOne Verify etc.
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2+ years of experience with building software with AWS, Azure, or GCP. An innovative insurtech firm is disrupting the space with cutting edge SaaS solutions and platforms. You'll also collaborate closely with multiple teams in a cross-functional to deliver high-quality software that meets their clients' evolving needs and defines the future of the insurtech space.
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Experience with big data technologies and cloud platforms (e.g., AWS, Azure, GCP). Proficiency in programming languages such as Python, R, and relevant libraries and frameworks (e.g., Sklearn, TensorFlow, PyTorch.
$127,950 - $191,962.5 a yearFull-timeExpandApply NowActive JobUpdated 3 months ago - UpvoteDownvoteShare Job
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At least one cloud platform experience ( E.g. Azure , AWS or GCP ) Hands on in statistical software packages (e.g., R, Python, SAS or SPSS) BSc/BA in Computer Science, Engineering or relevant field; graduate degree in Statistics or another quantitative field is preferred.
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