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Experience with networking architecture (Cisco ASRs, VXLAN, SDN/SD-WAN), advanced routing protocols (BGP, MPLS, OSPF), data-in-transit encryption methodologies (SSL/TLS, IPSec), and virtual architecture (VNETs, VPCs, VMs.
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Utilize programming languages like Java, Python, SQL, Node, Go, and Scala, Open Source RDBMS and NoSQL databases, Container Orchestration services including Docker and Kubernetes, Application Architecture like microservices, API, and realtime streaming, ETL and Data Engineering technologies like PySpark, Glue, Snowflake, and a variety of AWS tools and services.
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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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Our team helps organisations transform their network architecture and infrastructure to fundamentally change the role of Information Technology from an custodial asset to an orchestrator of business services.
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Cloud Architecture Certification (AWS, GCP, or Azure) or strong architecture experience on Cloud. Displays strong thought leadership in pursuit of modern architecture principals and technology modernization.
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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 and Cloud IAM.
Full-timeExpandApply NowActive JobUpdated 6 days ago - UpvoteDownvoteShare Job
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Proficiency in MLOps architecture tools (Docker, Kubernetes, Airflow, Kubeflow) and experience designing and implementing APIs in a Python stack. Familiarity with advertising targeting and measurement technologies, digital marketing analytics, and platforms like GCP, BQ, and Elastic/SOLR/Vector Search.
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You are results-driven and bring strong Architecture and engineering skills and a deep understanding of modern technologies including Cloud-native, APIs, AI, and ML. You are a person of high integrity, who believes in challenging the status quo when needed, while always first seeking to understand.
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Designing and developing data pipelines from ingestion to consumption within big data architecture using Python, Java, SQL etc. As part of the team, you’ll focus on the architecture of data centres, including the design and implementation of network architecture and information storage to optimise innovation and programme delivery for our clients.
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Google Certified Cloud Architect, Google Certified Data Engineer, AWS Certified Solutions Architect, Azure Solutions Architect. Designing and implementing solutions across various Google Cloud Infrastructure and Hybrid Cloud services such as GCE, GKE, Cloud Run, Anthos, etc.
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Any Azure, AWS, GCP, Nutanix, Meraki, Cisco, or security certifications. The AWS Cloud Infrastructure Analyst is a hands-on role planning and managing AWS cloud infrastructure delivery, including daily management, capacity planning, and participating in defining the Company's global infrastructure architecture.
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Platform Engineering & Architecture. Google Cloud Platform, AWS, Azure); Building data processing pipelines to integrate large datasets from multiple sources and formats, in both streaming and batch mode.
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BGP, OSPF, VSS, VPC, VNET protocols-ExpressRoute (Azure), Interconnect (GCP) and an array of interconnects. Key Deliverables:- Responsible for the configuration and support of backbones connection over ExpressRoute (Azure), Interconnect (GCP) and an array of interconnects handled over various virtual gateways- Responsible for troubleshooting to ascertain root cause of issues- Perform network system updates, patches, and configuration changes- Map network layouts and configure network devices for user environments.
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ITIL, ServiceNow); 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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