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Proficiency with GCP data services (BigQuery; Dataflow; Data Fusion; Dataproc; Cloud Composer; Pub/Sub; Google Cloud Storage). Proficiency in data technologies, such as relational databases, data warehousing, big data platforms (e.g., Hadoop, Spark), data streaming (e.g., Kafka), and cloud services (e.g., AWS, GCP, Azure.
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Client has an opportunity for a Google Cloud Platform (GCP) Cloud Engineer to build, automate and manage GCP platform for cloud migration project. Strong experience with Google Cloud Platform (GCP) and DevOps principles.
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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.
$150,000 - $195,000 a yearFull-timeExpandApply NowActive JobUpdated 3 days ago - UpvoteDownvoteShare Job
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Advanced-Data Architecture : Architect and refine a scalable, robust cloud data architecture within AWS or GCP, integrating Snowflake for data warehousing, SQL Server for database management, and leveraging Python, SSIS, and DataStage for complex ETL processes.
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A crucial role in CME's Cloud data transformation, the data SRE will be aligned to data product pods ensuring the firm's data infrastructure is reliable, scalable, and efficient as the GCP data footprint expands rapidly.
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Experience with data governance(data plex), data security, and compliance best practices on GCP. Strong understanding of logging and monitoring using tools such as Cloud Logging, ELK Stack, AppDynamics, New Relic, Splunk, etc.
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Ideally knowledge of GCP data services (BigQuery; Dataflow; Data Fusion; Dataproc; Cloud Composer; Pub/Sub; Google Cloud Storage) Understanding of logging and monitoring using tools such as Cloud Logging, ELK Stack, AppDynamics, New Relic, Splunk, etc.
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Keywords: GCP, Google Cloud Platform, BigQuery, Composer, SQL, Python, Data Engineering, Data Pipelines. Experience working with GCP technologies like BigQuery, Composer, GCS, DataStream, Dataflows.
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Demonstrate deep knowledge and hands-on experience with various GCP services, including but not limited to Compute Engine, Cloud Storage, BigQuery, Dataflow, and Kubernetes Engine. We are seeking an experienced and highly skilled Senior Solutions Architect with elite caliber expertise in Google Cloud Platform (GCP) and Artificial Intelligence/Machine Learning (AI/ML.
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Collaborating amongst team members across several geographies, our Cloud practitioners engineer cloud-based analytics solutions on AWS, Azure, Databricks, GCP, Snowflake, Oracle, Informatica Cloud and a combination of native cloud technologies, including computing at edge and curating data-in-motion.
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The Cloud Security Consultant should have experience supporting products such as Azure FWs, NSGs, Prisma CWPP/CSPM. Experience with NSGs and Prisma CSPM extremely desired. o Experience with native and 3rd party cloud security solutions, including but not limited to cloud native network security (security gateways, NSG/NACL, CSP native firewalls.
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Experience with Cloud Provider Services such as AWS, GCP, Azure or PCF. Experience with the commonly used managed services in cloud-native environments (GCP, AWS, Azure) with a working knowledge of their CLIs.
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Web Services (AWS), VMC on AWS, Google Cloud Platform (GCP), Google Cloud VMware Engine (GCVE), VMware Horizon VDI, Citrix. Oversee the design, and workload management of Azure VMWare Services and migration of VMs to the cloud.
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Experience with Data Ops (VPCs, cluster management, permissions, Databricks configurations, Terraform) in Cloud Computing environments (e.g., AWS, Azure, GCP) and associated cloud data platforms, cloud data warehouse technologies (Snowflake/Redshift), and Advanced Analytical platforms (e.g., Dataiku and Databricks.
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We implement modern backend solutions that support microservices architecture with the following technologies: NET Core, Node.js, Java, SQL Server, PostgreSQL, MongoDB, Redis, RabbitMQ. For the web UI front-end development, we opt for React, or Angular, and for mobile development — Swift, Kotlin, Java. Most of the systems are designed for cloud infrastructures like AWS, Azure, GCP, and heavily rely on Docker, Kubernetes while modern CI/CD is made using GitLab CI or TeamCity.
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