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A bachelor's degree in computer science or a related field 2+ Expertise in Observability stacks such as Prometheus, Grafana, Dynatrace Preferred: Our preferred requirements : Knowledge of GCP cloud services is a plus Knowledge of data analytics tool stack such as Alteryx tableau and qlik sense Experience building software and computer systems using a variety of languages (C/C.
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2+ years of experience with GCP or AWS cloud services; Strong candidates with 5+ years in a traditional data warehouse environment (ETL pipelines) will be considered. Work with on-prem data sources (Hadoop, SQL Server) and Cloud data sources (GCP) understand the data model, business rules behind the data and build data pipelines (with GCP) for one or more business domains.
$114,483 - $146,301 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Knowledge of GCP cloud services is a plus Knowledge of data analytics tool stack such as Alteryx tableau and qlik sense Experience building software and computer systems using a variety of languages (C/C.
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Proficient with cloud services, with a strong preference for Google Cloud Platform (GCP) experience. Work within GCP infrastructure, optimizing performance, and cost, and scaling resources to meet demand.
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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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The Data Factory ingestion patterns include a mix of in-house developed components leveraging native GCP services and 3rd party data products such as airflow. · These ingestion solutions provide a framework and code templates that provide no/low code solutions for developers and operators to deploy data pipelines to our Google Cloud Platform (GCP) based Data Factory environment.
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The team you will be working on supports ML Practitioners and Data Scientists in their Mach1ML (AI/ML platform similar to Uber’s Michelangelo, Facebook’s FB Learner, etch) on GCP journey or other ML Engineering / ML Ops tasks, focusing on Mach1ML adoption and AI/ML democratization.
$61 - $65 an hourFull-timeExpandApply NowActive JobUpdated 1 month ago - UpvoteDownvoteShare Job
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Understanding of Cloud Architecture, Cloud Security; Cloud platforms, Automation (Ideally GCP) Understanding of test automation leveraging testing tools such as Cypress, Newman Postman, Selenium, etc.
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Or relevant industry certification such as Microsoft Certified Solutions Developer (MCSD), AWS (Amazon Web Services or GCP (Google Cloud Platform) or relevant industry certification such as Microsoft Certified Solutions Developer (MCSD), AWS (Amazon Web Services or GCP (Google Cloud Platform.
$103,320 - $235,170 a yearFull-timeExpandApply NowActive JobUpdated 1 month ago - UpvoteDownvoteShare Job
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Knowledge of Dataflow with streaming Skills: Java, Software development, Development, angular, cloud, gcp Additional Skills & Qualifications: Minimum 4-5 years of experience with large scale solutioning and operationalization of data warehouses, data lakes and analytics platforms on GCP is a must.
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Technologies involved - Java, Spring Boot, Angular, SQL, Micro-services - Active participation in cloud migration (PCF to GCP) and modernization efforts. Develop and deliver quality software products using agile methodology and Google Cloud Platform (GCP) technology stack.
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Conduct and manage clinical trials in accordance with the study protocol, GCP, ICH Guidelines and SOPs. CITI, GCP, and IATA preferred. Performs pediatric, adult, and geriatric participant visits, including but not limited to medical history collection, medication reconciliation, physical exam, and health education.
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3 years data engineering experience on the Microsoft Azure, AWS, GCP and/or Snowflake platforms. 3 years data engineering experience on the Microsoft Azure, AWS, GCP and/or Snowflake platforms.
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Experience developing and maintaining Cloud CI/CD pipeline tools and environments in a large enterprise using Github, Jenkins, Github Actions Build automation tools, Cmake, Bazel, Conan, Docker, Terraform Experience in Github version control doing merging and branching of code with automation Experience writing scripts using Python, Bash, PowerShell, and/or Groovy Experience working with cloud platforms and services particularly GCP but any cloud service is good too (AWS, Azure, GCP, etc.
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Our preferred requirements : Knowledge of GCP cloud services is a plus Knowledge of data analytics tool stack such as Alteryx tableau and qlik sense Experience building software and computer systems using a variety of languages (C/C.
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gcp job in Dearborn, MI
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