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Expertise with Google Cloud Platform’s distributed Machine Learning, Data Science and Data Engineering tools (e.g. BigQuery ML, VertexAI, AutoML, Docker, Kubernetes, Kubeflow, Dataproc.
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Hands-on experience in cloud technologies (AWS, Google Cloud, Azure) related to data ingestion tools (both real-time and batch-based), CI/CD processes, cloud architecture understanding, and big data implementation.
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Experience with GCP tools such as BigQuery, Cloud SQL, Python, Cloud Composer/Airflow, Cloud Storage, and Dataflow/Data Fusion. Explore and implement new frameworks, platforms, or cloud services to enhance data processing capabilities.
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Lead and drive Generative AI Initiatives within the Cloud Platform team, play a central role in identifying and developing generative AI projects that innovate content creation, enhance decision-making processes, and provide predictive analytics, revolutionizing data interaction across business landscapes.
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Planet Technology Enterprise is an internationally recognized IT Consulting Services firm established in 2003 with a specialty in Workday, SAP, Cloud Solutions & Big Data. We understand the marketplace and pride ourselves on serving IT candidates as individuals, not commodities.
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Collaborating amongst team members across several geographies, our Cloud practitioners engineer cloud-based analytics solutions on AWS, Azure, Databricks, Google Cloud Platform, Snowflake, Oracle, Informatica Cloud and a combination of native cloud technologies, including computing at edge and curating data-in-motion.
$241,000 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Cloud Data Platforms (AWS, Azure, Google Platform, Databricks, Snowflake) Big Data applications and Distributed Processing (Hadoop and Spark ecosystem components) Practical experience using latest technologies for data ingestion, integration, transformation, storage, mining/warehousing, big data analytics, and visualization.
$227,900 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Certifications:Possess at least one relevant cloud certification (e.g., AWS Certified Solutions Architect, Microsoft Certified: Azure Administrator Associate). Cloud Security: Enforce security best practices and compliance standards throughout the cloud infrastructure, including access controls, data encryption, and vulnerability management.
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Participate in designing, coding, unit testing, debugging, configuring, maintaining and documenting of high-quality Java applications using Spring Boot, Apache Camel, Spring Integration, Spring MVC, Angular, Oracle, PostgreSQL in on-prem and AWS cloud environments.
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We are seeking a Sr. AWS DevOps Engineer to collaborate with our DevOps AWS Architect. · Implement monitoring solutions with tools like CloudWatch and Prisma Cloud. · Align with the DevOps AWS Architect on strategies and implementation plans.
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Net, C#, Power BI, Machine Learning, Azure Data Factory, RedShift, UiPath, Cloud, RPA, AWS, Redshift, Python, Data Modeling, SQL, SSIS, SSAS, SSRS, Power Automate, Power Platform, AI Builder, Power Apps, Blue Prism, Automation Anywhere, UiPath Studio, Orchestrator, ERP, QuickBooks, SAP, NetSuite, Oracle, API, JSON, XML, Web Services, SOAP, Postman, Fiddler, Integration, Custom Activities, DLL, Insight, Automation Hub, Task Capture.
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Experience with big data technologies such as Hadoop, Spark, or Kafka. Experience with cloud platforms such as AWS, Azure, or Google Cloud. Familiarity with data warehousing solutions like Amazon Redshift, Google BigQuery, Azure or Snowflake.
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Certified IT Architect (CITA), Certified Enterprise Architect (CEA), Microsoft Cloud Platform and Infrastructure (MCSE), or AWS Certified Solutions Architect – Professional. Multi-cloud experience is preferred, with emphasis on implementing Microsoft Azure enterprise solutions.
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Experience delivering solutions across multiple cloud-based solutions including Azure, and AWS, and deploying to iPaaS solutions such as MuleSoftExperience in the following tools and technologies: Atlassian Confluence, SonarQube, LucidChart, Ansible, Terraform, Kubernetes.
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Configure and manage resources in the local and AWS cloud environments and deploy QRM’s software on these resources. Good command of database technology and query languages (SQL) and non-relational DB and other Big Data technology, including efficient storage and serialization protocols (e.g. Parquet, Avro, Protocol Buffers.
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big data aws cloud jobs Company: Marsh Mclennan in Dallas, PR, France
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