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5+ years of relevant experience in a sales engineering or consulting role for a SaaS company, with a deep understanding of the data analytics ecosystem. AWS, Azure, GCP and/or SnowPro certifications a plus.
$283,500 a yearFull-timeExpandApply NowActive JobUpdated 2 months ago - UpvoteDownvoteShare Job
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Experience with Agile principles using Azure DevOps or similar systems. Apply scientific, data mining, and statistical theory and methods to test hypotheses using structured and unstructured data.
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Required Skills & Experience Highly skilled in Java and Spring Boot Highly skilled in Spring WebFlux or Reactive programming Skilled in REST API development Skilled in Azure or AWS Exposure to Microservices Desired Skills & Experience Experience working in the Energy Industry 5+ years of hands-on development experience Degree in a related field Strong technical skills What You Will Be Doing Daily Responsibilities 100% Hands-On.
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Experience in all aspects of Architecture Design and cloud computing (infrastructure, storage, platforms and data). Experience or certification in Cloud-based (AWS, GCP, Azure, etc.) Actively seeking knowledge and understanding of cloud, platform, data, and digital strategies across domains and is responsible for integrating strategies into design and execution.
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Data Management & Automation: Knowledge with data systems like Snowflake or Microsoft Azure and proficient in querying and managing data using SQL or tools like Alteryx and Power Automate / Query.
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Experience with cloud computing platforms (AWS, Azure, GCP, etc. Collaborate with Security Research, Data Engineering, and Software Engineering teammates. MS + 2 years of Data Science experience or PhD in Computer Science, Mathematics, Physics or related discipline (or equivalent experience.
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Hands-on experience on RESTful API development and management, Java, Spring Boot and Angular JS Working experience on Google Cloud Platform(preferred) and/or Azure Extensive knowledge of SQL databases and Windows web server hosting.
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Department’s ongoing migration to Amazon Web Services (AWS) and Microsoft Azure while supporting the integration of cutting-edge Intelligent Transportation Systems (ITS) and Internet of Things (IoT) technologies.
$92.85 an hourExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Must possess strong technical knowledge of AWS / Azure Cloud management, O365, PowerShell and data center operating systems & tools. One key advantage for the right person is having AWS/Azure and Infrastructure expertise.
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Proven experience with big data technologies (e.g., Apache Spark, Apache Flink, Apache Kafka) and cloud-based data platforms (e.g., AWS, Google Cloud, Azure). Evaluate and select appropriate technologies and frameworks (e.g., Spark, Flink, Kafka, Presto) to build a modern data analytics platform that meets business needs.
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Knowledge in reporting/data management tools (as Power Bi, and Spotfire, etc.) Akkodis is seeking a Scientific Business Analyst for a contract position with a client located in Boston, MA. The successful candidate will collaborate with several analytical teams to implement a new scientific data capture and processing tool.
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RIO is a key subdivision of Dana-Farber's Department of Informatics and Analytics (I&A), led by the Chief Data and Analytics Officer (CDAO). Cloud Computing Platforms: Amazon Web Services (AWS), Microsoft Azure, Google Cloud Platform (GCP.
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In-depth knowledge of Azure services such as Azure Data Lake Storage, Azure SQL Database, Azure EventHub/EventGrid. Strong understanding of data warehousing, data modelling, and data lake concepts.
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In-depth knowledge of technologies such as Kubernetes, AWS, Azure, GCP, Docker, Prometheus, and OpenTelemetry. As a Sales Engineer, you will play a crucial role in helping enterprise customers unlock the full potential of their data and will be a trusted advisor, guiding customers through their monitoring/data journeys.
$200,000 a yearFull-timeExpandApply NowActive JobUpdated 8 days ago - UpvoteDownvoteShare Job
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Preferred Languages / Certifications : Python, Databricks, GitHub Co-Pilot, Azure, ChatGPT /Claude, PowerBI, Tibco's Spotfire. Have extensive experience solving analytical issues through quantitative approaches and machine learning methods and vast experience using advanced statistical methods, data mining techniques, and information retrieval.
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