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If you have a passion for the latest open source technologies, cloud-native development, data center technologies such as Kubernetes and computer networking, you will love the Alliances Engineer role at Canonical.
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Responsibilities Our client is looking for a Data Mesh Architect/Engineer to join their team! Architect and implement a scalable Data Mesh framework, focusing on decentralization of data ownership and domain-oriented decentralized governance.
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Microsoft Azure certifications, such as Azure Solutions Architect Expert or Azure DevOps Engineer Expert, are preferred. Manage and optimize our data analytics infrastructure (Databricks and Snowflake), including monitoring, troubleshooting, and maintaining high availability.
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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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Candidates should have a functional understanding of a subset of the following technical skills: AI/ML Computer Vision, power systems, structural engineering, wireless networking, sensing technologies such as electro-optical, thermal, fiber optics, radio frequency, LIDAR, and computing systems, large scale systems design, data engineering, information and cyber security, and C2 systems.
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The team develops critical communication capabilities for air traffic control, air-to-ground data communication, secure access to situational awareness data and secure information sharing to state agencies.
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Architect and develop the testbench using advanced verification methodology such as System Verilog/UVM, Analog/mixed signal simulation, Low power verification, Formal verification and Gate level simulation to ensure high design quality.
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A Senior Data Engineer will use his or her hands-on expertise in Spark/Hadoop, Scala programming, Linux scripting, AWS, DevOps and API technologies to expand and optimize architecture, data flows, infrastructure, APIs and data pipelines to support the Epsilon PeopleCloud Discovery Platform.
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Snowflake's SnowPro Certifications (ie: SnowPro Core, SnowPro Advanced Architect, SnowPro Advanced Data Engineer, SnowPro Advanced Data Analyst, SnowPro Advanced Data Scientist.
$119,025 - $198,375 a yearFull-timeExpandApply NowActive JobUpdated 5 days ago - UpvoteDownvoteShare Job
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AWS solution Architect or AWS Developer certified. Formal AWS training or advanced AWS certifications demonstrating deep knowledge of AWS Compute, AWS Relational database Systems, No Sql databases, Memory processing, server less designs, orchestrations & data streaming (Kafka or Kinesis) is a must.
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The engineer in this position will work with the broader Vision and EE teams to architect, implement and verify image sensor interfaces and image processing algorithms on FPGAs deployed on the platform.
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Cloud certification such as Azure Architect Expert + Azure Network Engineer Associate. Data Center infrastructure solutions: Cisco (R&S), Palo Alto (NGFW + IDS/IPS functions), Infoblox (DDI), Cisco ISE, also implemented on Cisco products.
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C#, design, matlab, maven, programming, project architect, senior, software engineer lead. Experience working with big data distributed programming languages and ecosystems such as Hadoop, MapReduce, Pig, or KafkaExperience with designing and building cloud-based databases, data lakes, and data warehouses.
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Job Description Summary: We are seeking an experienced and innovative Data Engineer Manager with expertise in packaged goods products to lead our data engineering team. Architect and implement cloud-based data platforms and infrastructure using technologies such as AWS, Azure, or Google Cloud Platform, ensuring scalability, reliability, and security.
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Help partners to offer and architect joint solutions utilizing Canonical's technologies on top of the public clouds and in the data center. Architect cloud infrastructure solutions like Kubernetes, Kubeflow, OpenStack, Ceph, and Spark either On-Premises or in Public Cloud (AWS, Azure, Google Cloud.
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