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Experience with cloud services, preferably GCP Services like Vertex AI, Cloud Function, BigQuery etc. Experience working with Google Cloud platform(GCP) - specifically Google Kubernetes Engine, Terraform, and infrastructure.
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Or relevant industry certification such as Microsoft Certified Solutions Developer (MCSD), AWS (Amazon Web Services) or GCP (Google Cloud Platform) Experience with tax technology applications (e.g. OneSource, Vertex, Avalara, Sovos /Taxware, Oracle Enterprise Business Tax.
$145,250 - $330,590 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Google Cloud Platform Professional Cloud Architect or equivalent experience. This team is moving data and databases over to the Google Cloud Platform(GCP) and other open databases.
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Amazon Web Services (AWS), Microsoft Azure, and Google Cloud Platform (GCP), Alibaba Cloud, Oracle Cloud. Technical knowledge in some of the following domains in a cloud or on-premise context: routing/switching, stateful or next gen firewalls (NGFW), distributed denial of service (DDoS) mitigation, web application firewalls, intrusion detection / prevention systems (IDS/IPS), network segregation, security information and event management (SIEM), Container and Orchestration technologies, Infrastructure as Code, and other threat and vulnerability management capabilities.
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Implement and optimize cloud services and tools (e.g. Terraform, BigQuery, GCP) Knowledge of GCP cloud tools and LLM's. Experience deploying applications to cloud platforms (ie: GCP, AWS, Azure.
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Additional Skills & Qualifications Bachelor’s degree in computer science, IT management, Cyber Security, Risk Management, computer engineering or any related field 3+ years of cyber security, software engineering, or software product delivery Experience implementing and/or supporting cloud-based platforms in an enterprise environment such as: Google Cloud Platform (GCP), Microsoft Azure, and Amazon Web Services (AWS.
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Design and build production data engineering solutions to deliver our pipeline patterns using Google Cloud Platform (GCP) services: o BigQuery, DataFlow (Apache Beam), Pub/Sub, BigTable, Data Fusion, DataProc, Cloud Composer (Apache Airflow), Cloud SQL, Compute Engine, Cloud Functions, and App Engine.
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For both on-premise and cloud (ASW, Azure, etc.) for both on-premise and cloud (AWS and Azure) Set up infrastructure and architecture for DevOps tools such as Git, Jenkins, AppScan, Chef, Puppet, Ansible, Maven/Gradle, Docker, jfrog artifactory, bamboo, selenium, Cucumber, Nagios etc.
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Hands on experience with Amazon Web Services, Google Cloud Platform, or Azure; namely choosing platform components and assembling application and runtime architecture. We're doing this by leveraging the power of patterns (Anti-Corruption Layering, Strangler fig, Microservices, Event Sourcing, etc) and technologies (Kafka, Solace, Change Data Capture, Node.js, Go, Containerization, PaaS) to build cloud-native solutions for the enterprise based on modern event driven architectures.
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Familiarity with Google Cloud Technologies is preferred, however we will consider candidates with good experience with AWS and/or Azure, and their analogues to GCP tools like BigQuery, DataProc, etc.
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O BigQuery, Cloud Run, Data Flow, Cloud SQL, etc. Experience with Google Cloud Platform (GCP) data architectures. IBM MDM or similar master data management solutions null.
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Experienced and knowledge with wide range IP infrastructure applications, e.g. DNS, SMTP, NTP, IMAP, RADIUS, FTPUnderstanding of Pivotal Cloud Foundry Azure & Google Cloud PlatformEducation RequiredBachelor's Degree or equivalent work experience in Computer Science, Information Science, Computer Engineering or similar programs.
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Develop and deliver quality software products using agile methodology and Google Cloud Platform (GCP) technology stack. Technologies involved - Java, Spring Boot, Angular, SQL, Micro-services - Active participation in cloud migration (PCF to GCP) and modernization efforts.
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Preference candidate has experience working within known AdTech systems like audience management tools, measurement solutions, or working within industry-leading platforms, such as DV360, SA360, Campaign Manager, Google Ads, Facebook Business Manager, Amazon Ads, Yahoo Ads, Adobe Analytics, Audience Manager, Experience Cloud, and LiveRamp Connect.
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Position is for Azure Cloud but some potential for Google Cloud Platform projects/cross function. Experience with Google Cloud Platform. Cloud Engineer will help assist the team with improving cloud security, consulting application teams, and day to day operations of the Azure Cloud.
$70 - $85 an hourExpandApply NowActive JobUpdated 1 month ago
bigquery google cloud jobs Company: Apex Systems in Dearborn, MI
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