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GCP Data Engineer with Python, Bigdata & Google Cloud Platform Technologies (Cloud Run, DataProc, BigQuery. GCP Data Engineer with Python, Bigdata & Google Cloud Platform Technologies (Cloud Run, DataProc, BigQuery.
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Experience with Google Cloud Platform (GCP). The primary focus involves the migration of data landing and transformation jobs from Hadoop to Airflow (Astronomer) and BigQuery. Experience with Airflow (Astronomer.
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Experience with Google Cloud Platform cloud services including BigQuery, Cloud Composer, Dataflow, CloudSQL, GCS, Cloud Functions, and Pub/Sub. Data Engineer with Java / Python with Google Cloud Platform (Google Cloud Platform) Experience.
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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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Experience in using a RDBMS (MS SQL), Distributed SQL database management (Cloud Spanner)Experience with Google Pub/Sub and KafkaExperience with Google Cloud Run , Big Query , Cloud Storage , Secret ManagerExperience in Agile software development.
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Architect cloud infrastructure solutions like Kubernetes, Kubeflow, OpenStack, Ceph, and Spark either On-Premises or in Public Cloud (AWS, Azure, Google Cloud) to help our biggest partners (companies like Intel, Nvidia, Google, Dell, HP, Accenture, Tata and the like) understand and embrace our open source platform for themselves and their customers.
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Proficiency in Google Cloud Platform (GCP) services relevant to machine learning and AI, such as AI Platform, BigQuery, Dataflow, and Tensorflow. Familiarity with cloud-based data storage and processing technologies for handling large datasets efficiently.
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We are looking for a senior QA test automation engineer who would be responsible for testing and validating scalable microservices built using a combination of Java and Google cloud platform technology stack.
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As a Ford Google Cloud Engineer , you will collaborate with multiple organizations (Business Customers, Product Owners, Data, IT) to convert business goals into GCP solutions. Create and implement new data storage solutions in platforms like Google Cloud Storage (GCS.
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The ideal candidate will be proficient in handling complex migrations from legacy Teradata warehousing solutions or on-prem Hadoop/Hive to BigQuery in Google Cloud Platform. Additionally, they will implement cloud-based solutions leveraging various Google Cloud Platform services and technologies such as BigQuery, Dataflow, Dataproc, Bigtable, Dataform, Data Fusion, Cloud Spanner, Cloud SQL, Cloud Functions, and Cloud Scheduler.
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2+ years of experience and good understanding of OpenShift / Google Cloud Platform / DevOps / CICD / Docker / Kubernetes / GitHub. Good to know Python. Experience working with OpenShift, Google Cloud Platform and Gen AI projects.
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Net Developer with GCP skillset position will provide expertise in a wide range of technical areas, including but not limited to: Web API, Dot Net Core 3.1, MVC, Google Cloud Platform, JSON Framework, JQuery, Java Script, and C.
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Experience with Terraform(Google Cloud Platform) 3+ years of experience building Cloud-enabled solutions (Google Cloud Platform, AWS, Azure) Background with Typescript, client-side MVC frameworks (e.g., Angular, React, Vue.
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Good working knowledge of AWS, Azure, Google Cloud, or equivalent cloud service providers; You are excited by business-technology alignment, enterprise technology blueprints and roadmaps, C-Level discussions but ideally you have also experience on Software Engineering, DevSecOps, Cloud platforms, Integration platforms, enterprise applications such as Salesforce and SAP and, why not, even Cobol and mainframe.
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Experience supporting cloud-based platforms in an enterprise environment such as: Google Cloud Platform (GCP), Microsoft Azure, and Amazon Web Services (AWS). Strong understanding of Security Engineering concepts around key management, authorization, Cloud Security etc.
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