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At least 1 year experience with cloud computing (AWS, Microsoft Azure, Google Cloud) 4+ years of experience with a public cloud (AWS, Microsoft Azure, Google Cloud.
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Data & AI, Data Cloud using Snowflake, Databricks, Azure Synapse, GCP GBQ or AWS Redshift. Must have 2 plus years of experience in implementation of Data Cloud using Snowflake, Databricks, Azure Synapse, GCP GBQ or AWS Redshift.
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Solution Design:Lead the design and architecture of a chatbot that integrates with Google Cloud AI services, effectively utilizing NLP, machine learning, and other AI technologies. Expertise in Google Cloud AI services, including Natural Language AI, Dialogflow, and AutoML.
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0, Figma, Node JS, Express v4, Jest v29, MySQL v8, Google Cloud Platform (GCP), Kubernetes, and Amazon Web Services (EC2, RDS, S3, SNS). Understand the current application infrastructure, capture migration requirements, & migrate applications from On-Prem infrastructure onto Amazon Web Services (AWS) public cloud hosting environment - implement migration utilizing its core services such as EC2, S3, SNS & RDS & use Google Cloud Platform (GCP) to host applications.
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STG has an opening for Google Cloud Platform Data Engineer with Python, Bigdata & Google Cloud Platform Technologies (Cloud Run, DataProc, BigQuery. Title: Data Engineer with Python, Bigdata & Google Cloud Platform Technologies (Cloud Run, DataProc, BigQuery (Only W2 role & strictly no C2C Accepted) 3.13.
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Google Cloud Professional Certification(s), such as Cloud Architect, Data Engineer, ML Engineer, DevOps Engineer, etc. 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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Utilize programming languages like SQL, Python and tools like databricks, iceberg, presto, graphql and Cloud based data technologies. Collaborate with data product managers, and deliver robust cloud-based solutions that drive powerful data experiences.
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Exposure to Spark, Hive, Google Cloud Platform Data Fusion, Google Cloud Platform Astronomer, Pub/Sub Messaging, Vertex, and the Python Programming Language. Extensive experience working with Google Cloud Platform Data-related Services such as Cloud Storage, Dataflow, Dataproc, BigQuery, Bigtable.
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Cloud Computing : Strong understanding of AWS, Azure, or Google Cloud platforms. Leverage cloud computing for scalable infrastructure for efficient application management.
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Nice-to-haves: ElasticSearch, InfluxDB, MongoDB, frontend frameworks (Bootstrap, Tailwind), diagram tools, SaaS software, high-performance applications, CI/CD deployment in Google Cloud Platform, Linux/Unix command line.
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We are seeking a highly motivated and experienced Cyber Security Sales Representative to join SADA's world leading Google Cloud Security team. Our motivation is to provide customers with an exceptional experience in migrating, developing, modernizing, and operationalizing their systems in Google Cloud Platform.
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The Senior Lead Data will be responsible for partnering with Technology, Machine Learning, Product Architecture, and other Capital One teams to support the development of the Finance Tech Data Strategy into products and services we create and consume.
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Experience working in cloud environments (Google Cloud Platform, BigQuery) Powering growth for customers ranging from aspiring entrepreneurs in emerging markets to the world's leading brands like Airbnb, Amazon, Google and Upwork, Payoneer makes global commerce easy and secure.
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SQL, Tableau, Marketing, Marketing Analytics, Media, Media Mix, MMM, Media Mix Marketing, Dashboarding, Web, Web Analytics, Google Analytics, Adobe Analytics, Trend Analysis, Analytics, Insights, Statistics, Fintech, Insurance, CPG, Digital, B2C, Google Cloud.
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Designing and implementing solutions across various Google Cloud Infrastructure and Hybrid Cloud services such as GCE, GKE, Cloud Run, Anthos, etc. (Google Cloud Platform, AWS, Azure.
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