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As a Google Vertex Full Stack Software Engineer, you will be responsible for developing and implementing machine learning models using Google Vertex AI and developing consumable API microservices using Typescript, Node.js, Express.
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At least 4 years of experience with Cloud Native technologies (Amazon Web Services, Microsoft Azure, Google Cloud Platform) Collaborate with digital product managers, and deliver robust cloud-based solutions that drive powerful experiences to help millions of Americans achieve financial empowerment.
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Must be proficient with using Excel, PowerPoint or Keynote, Photoshop, video editing software (Premiere or Final Cut), and comfortable with collaboration and asset management tools like Google Drive, Dropbox, Evernote, Basecamp and the like.
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At least 1 year experience with cloud computing (AWS, Microsoft Azure, Google Cloud) 2+ years of experience with OpenSearch, Kafka, Vue.js and some exposure to Machine Learning. Utilize programming languages like JavaScript, Java, HTML/CSS, TypeScript, SQL, Python, and Go, 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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Extensive experience with Facebook Ads, Google AdWords Search, Shopping, Display and YouTube, and Google Analytics. You'll be leading our digital marketing strategy and overseeing the management, optimization and execution of $10M+ annual spend.
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Google Certified Cloud Architect, Google Certified Data Engineer, AWS Certified Solutions Architect, Azure Solutions Architect. A career in our Cloud and Network Architecture practice, within Cloud Computing and Networking services, will provide you with the opportunity to focus on the joint business relationship between PwC and Google, HP, Microsoft, Oracle, SAP, and other cloud based platforms that bring new and innovative services to some of the largest companies.
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We are in search of an adept cloud software engineer with a proven track record as a technical lead (product owner) for Pison Cloud on Google Cloud Platform (GCP). Proficiency with Kubernetes, Google Cloud Run (or similar), Google Cloud Functions (AWS Lambda or similar), and Docker are a must.
ExpandApply NowActive JobUpdated 11 days ago - UpvoteDownvoteShare Job
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Usage of business intelligence tools (e.g. Tableau, Looker) and data frameworks (e.g. Hadoop, Google Cloud Platform, SAP) Build data ingestion processes using Google Cloud ETL tools (Data fusion, Dataflow, Dataproc, Airflow.
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Data Stack: Fivetran, Airbyte, dbt, Snowflake, Looker, Hex, Google Analytics 4, Google Tag Manager. As a Senior Data Analyst/Data Analyst, you’ll dive deep into our product analytics, email, SMS, and sales data to inform digital and product strategy to drive retention and LTV.
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Proficiency in Google Analytics, Google Tag Manager, and Google AdWords required. Use data analysis, tracking, and research, including Google Analytics, Google Tag Manager, VitalSite, paid advertising platforms, social media channels, and other tools to assess the impact of digital marketing initiatives on online goals.
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Proficiency in digital analytics and visualization tools such as Google Analytics, Google BigQuery, Adobe Analytics, Appsflyer, Firebase, Sprinklr, PowerBI, Microsoft Azure's services for data warehousing and analytics.
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One or more cloud certification such as: AWS Certified Solutions Architect - Associate, Microsoft Certified: Azure Solutions Architect Expert, Certified Cloud Security Professional (CCSP) or Google Professional Cloud Security Engineer.
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Cloud deployment of Big-data solutions (e.g. AWS, HDI, Google Cloud) Alluxio is charging full steam to help customers navigate digital transformation. Alluxio is seeking a Solutions Engineering Manager to join the Enterprise Field Sales Team in representing the Alluxio Data Orchestration Platform to the marketplace.
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Handle Google Cloud Storage inorder to use the storage service efficientlyRole as GCP Architect and SME in multiple projectsRepresent in client meetingsRespond to RFPs providing the solution Arch. Min one year Experience in Architecting applications for Google Cloud platformExperience in Architecting and designing solutions leveraging services like Cloud Bigquery, Clod Data Flow, Cloud Pub OR Sub, Cloud BigTableWork with Google Cloud SQL to handle the user data/ client data.
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Technical Skills: Proficiency in Looker, Google Analytics v4, BigQuery, Snowflake, SQL, and Python. This position offers a unique opportunity to shape our marketing strategies, elevate our digital footprint, and significantly contribute to our brand's prosperity in the online marketplace.
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google adwords jobs Title: digital marketing manager Company: Driven Data
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