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Expertise in Google Cloud Technologies: Hands-on experience with Google Cloud Platform (Google Cloud Platform), including Dialogflow, BigQuery, Google Kubernetes Engine (GKE), and AI/ML services.
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You will work on data extraction, data transformation, data loading into Google Cloud Platform & WebFocus Integration to support the Enterprise in the Data Factory on Google Cloud Platform (Google Cloud Platform.
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Deep understanding of GCP tech stack: Google Kubernetes Engine (GKE) networking, Google Cloud Storage, Cloud SQL, Identity & Access Management (IAM), Cloud Monitoring & Logging. Hands-on experience with building enterprise-grade products with at least one of the following Cloud technologies - Google Cloud Platform (GCP), Amazon Web Services (AWS), Microsoft Azure.
$180,000 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Forward was founded in January 2016 by former executives and engineering leaders from Google and Uber. We are funded by some of the world's best investors and entrepreneurs including Founder's Fund, Khosla Ventures, First Round Capital, Eric Schmidt (Google/Alphabet Chairman), Marc Benioff (Salesforce Founder), and Garrett Camp (Uber co-Founder.
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Proficiency in Google Cloud Platform (GCP) services like Google Cloud Storage, Google Cloud Fusion, Google BigQuery, and Google Analytics. Proficiency in Google Cloud Platform (GCP) services like Google Cloud Storage, Google Cloud Fusion, Google BigQuery, and Google Analytics.
$125,000 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Using Google Cloud Platform’s (GCP) Apigee EDGE platform, our Apigee API Developer professionals implement state-of-the-art, scalable, high-performance solutions that meet the need of today’s corporate and emerging digital applications.
$169,800 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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The GCP Apigee API Developer role is responsible for the implementation of cloud native APIs built on Google Cloud Platform’s (GCP) Apigee EDGE API management platform. Previous Implementation/Delivery experience on Google Cloud Platform (GCP) Apigee EDGE.
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As a Generative AI Field Solutions Developer, you will support the Google Cloud sales organization. You will be responsible to construct rapid prototype Generative AI applications tailored to Google Cloud customers, catering to diverse clients ranging from early stage startups to prominent companies.
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Data visualization and reporting experience with PowerBI, Tableau, and/or Looker. Utilize Tableau and Looker for data visualization. Excellent experience with ETL tools such as Talend, SSIS, or Informatica.
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Design and build production data engineering solutions to deliver pipeline patterns using Google Cloud Platform (GCP) services: BigQuery, DataFlow, Pub/Sub, BigTable, Data Fusion, DataProc, Cloud Composer, Cloud SQL, Compute Engine, Cloud Functions, and App Engine.
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Ensure our services use OpenShift/Kubernetes, Oracle database, Apache Kafka, Google BigQuery effectively. Experience with at least one storage technology (e.g., Oracle/Postgres,MongoDB, Google Cloud Storage/Big Query) and knowledge of container runtime environments (Docker, Kubernetes) and implementing applications onto Public Cloud (AWS/Azure/Google Cloud Platform.
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Design, build, and maintain scalable and robust data pipelines on Google Cloud Platform using tools such as Apache Airflow, Cloud Composer, and Cloud Dataflow. Develop and optimize data warehouse solutions using BigQuery and other Google Cloud Platform services.
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Key Responsibilities: Design, build, and maintain scalable data pipelines using Google Cloud Platform (GCP) services such as BigQuery, Dataflow, Pub/Sub, Cloud Storage, and Dataproc. Job Title: Data Engineer / Google Cloud Platform Developer (AI/ML Focus) Location: Greater Washington, DC Area (On-site 3 days per week) Position Type: Full-time Experience Level: 2-10 years Job Description: We are seeking a talented and dynamic Data Engineer / Google Cloud Platform (GCP) Developer to join our team, focusing on software development and AI/ML (Artificial Intelligence / Machine Learning) capabilities.
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Knowledge and experience in Data Analytics, AI/ML and/or PaaS, IaaS technologies, Apigee and/or Looker relating to the Google Cloud Platform is desirable. This is likely to have been gained in a pre-sales consulting, solution architect or solution engineering capacity where you have supported innovation and go to market strategies for a Google Cloud/GCP solutions provider.
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At least 5 years of experience in prominent paid media platforms (Google Ads, Meta Ads, and TikTok Ads). Identify opportunities to increase ROAS and conversion rates across media channels (Google Meta, TikTok, and more) through audience optimization and creative testing.
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