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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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2 + years of experience with developing microservices and implementing CI/CD pipelines via cloud computing services like (Google Cloud Platform preferred), AWS, Azure or similar. 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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Google Certified Cloud Architect, Google Certified Data Engineer, AWS Certified Solutions Architect, Azure Solutions Architect. (Google Cloud Platform, AWS, Azure); Designing and developing large-scale data solutions using GCP services like DataProc, Dataflow, Cloud Bigtable, BigQuery, Cloud SQL, Pub/Sub, Cloud Data Fusion, Cloud Composer, Cloud Functions, Cloud storage, Compute Engine, Looker, Cloud IAM, etc.
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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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Designing and implementing solutions across various Google Cloud Infrastructure and Hybrid Cloud services such as GCE, GKE, Cloud Run, Anthos, etc. Implementing and designing AI/ML, including GenAI, solutions using Vertex AI, dialogflow, Cloud Vision, CCAI, etc.
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4+ years using cloud-based warehouse/data lake (Preferably in Azure Databricks metastores/catalogs or similar stacks such as AWS Athena/Redshift, GCP Bigquery, Azure ADLS, etc) 4+ years using a cloud-based computing/analytics platform (Preferably in Azure Databricks or similar stacks such as Azure DataFactory, AWS Lambda/Glue, GCP DataFlow, Databricks, etc.
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3+ years of experience with AWS, GCP, Microsoft Azure, or another cloud service. Utilize programming languages like Node.js, JavaScript, HTML/CSS, TypeScript, Vue.js and SQL. 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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Provide technical leadership for an engineering team implementing differing technologies to include; Azure and/or AWS Cloud, firewalls, web application firewalls, VPNs, DNS, Data Loss Prevention, IDS/IPS, and proxies, to name a few.
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Utilize programming languages like Java, Python, SQL, Ruby and Go, Container Orchestration services including Docker and Kubernetes, CM tools including Ansible and Terraform, and a variety of AWS tools and services.
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Hands on development in Python, PL/SQL, SQL, Shell Scripting, AutoSys. Hands on experience working in cloud data platforms such as AWS Redshift, Spark based data engineering solutions. What you will be responsible forDevelop/ Build and enhance data pipelines using Python, Spark based data engineering solutions (Databricks), and SQL (AWS Redshift.
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Cloud deployment of Big-data solutions (e.g. AWS, HDI, Google Cloud) Minimum 5+ years of experience as a hands-on solutions engineer, supporting all phases of the technical sales cycle.
ExpandApply NowActive JobUpdated 12 days ago - UpvoteDownvoteShare Job
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Expertise in cloud architecture/platforms (i.e., AWS, Azure, GCP), Azure Cloud products (i.e.: Monitor, Databricks, Data Factory, Data Lake, Function, Serverless/Managed Compute/SQL, Key Vault, Sentinel, VMware, etc.
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Experience with cloud-based data platforms and services (e.g., AWS, Azure, Google Cloud) including familiarity with relevant tools and technologies (e.g., S3, Redshift, BigQuery, etc.
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Familiar with automated development lifecycles and pipelines (DevOps, DevSecOps)Project management experience with Agile (Kanban/Scrum)Experience with cloud security strategy, cloud provider ecosystems (Amazon AWS/Microsoft Azure)Knowledge of cloud networking architecture, cloud operations, security, automation, and orchestration.
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Posses one or more cloud certifications such as AWS Solutions Architect, MS Azure Solutions Architect, GCP Cloud Architect, ISC2 CCSP. 5+ years of knowledge and technical hands-on experience managing/deploying cloud capabilities with one or more cloud environments (AWS, Azure, GCP, OCI.
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