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Knowledge and hands-on experience with DevOps tool chain such as Git, Jenkins, Nexus, Docker, Kubernetes, Harness etc. Background in Tableau and other reporting tools (e.g., on cloud providers, SmartSheet) to generate and automate reports.
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Strong understanding and hands-on experience of event-driven architectures, microservices-based, RESTful and alternative styles and other modern architecture design techniques and best practices.
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Hands on experience with design, full-stack development, and execution of complex Enterprise-scale software solutions using Java and a UI framework such as Angular. Chapter Leader, MTW Workforce Connect Software Engineering (Director.
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Hands-on Python development experience within Data Engineering space. Hands-on experience with JIRA, Confluence, and Microsoft Office products (Microsoft Project, PowerPoint.
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Minimum 2-3 projects delivered with hands-on experience in Databricks. You are self-motivated, collaborative, eager to learn, and hands-on. Completed Apache Spark Programming with Databricks, Data Engineering with.
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Hands-on proficiency with Python, Spark, Java, Azure/GCP, Kafka (or other messaging services), and relational databases (MySQL, Oracle etc. Master's degree in Computer Science, Computer Engineering, Computer Information Systems, Software Engineering, or related area and 1 year's experience in software engineering or related area., We value candidates with a background in creating inclusive digital experiences, demonstrating knowledge in implementing Web Content Accessibility Guidelines (WCAG) 2.2 AA standards, assistive technologies, and integrating digital accessibility seamlessly.
$180,000 a yearFull-timeExpandApply NowActive JobUpdated 6 days ago - UpvoteDownvoteShare Job
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At least 3 years of experience in an engineering manager role while still being hands on; Hands-on experience, or working interest in GenAI, Large Language Models, Big Data, OpenAI, Gemini, Bedrock, etc.
Full-timeExpandApply NowActive JobUpdated 16 days ago - UpvoteDownvoteShare Job
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Hands-on experience with Databricks for data analytics and pipeline creation. Relevant certifications in cloud platforms (AWS, Azure, GCP) and data engineering tools (Databricks, Kafka) are a plus.
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Bachelor’s degree in mechanical engineering, electrical engineering, or relevant hands-on experience as a Predictive Maintenance Technician or Reliability Technician. Do you have 3-5 years of hands-on experience in the manufacturing sector, and are you excited about leveraging your skills to enhance equipment reliability and performance.
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Experience in a hands-on engineering role within the automotive or autonomous vehicle industry is advantageous. Hands-on installation and configuration of autonomous hardware and software components.
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Hands on experience in data engineering, working with big data framework like Spark/Hadoop. 4+ years hands-on data science experience. We are looking for ambitious and agile data scientists that would like to seize the opportunity to work on some of the most challenging productive machine learning and big data platforms worldwide, processing some 600B events every day and making some 5B predictions.
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Strong hands-on experience in Databricks. Implement scalable and sustainable data engineering solutions using tools such as Databricks, Azure, Apache Spark, and Python. Expertise on Azure Cloud platform.
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Hands-on experience with project management tools like Jira, Confluence, and Microsoft Azure Dashboards. Technical Project Manager / Engineering Manager - Do you thrive in a fast-paced environment and enjoy leading teams to deliver innovative solutions.
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2-3 years' hands-on experience with MEMS processing, especially in photolithography and etch. Execute hands-on MEMS processing, research, and development tasks. Experience with hands-on prototyping, such as part/fixture design and 3D print, machining, or similar.
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Hands on experience with Microsoft Azure, Azure Active Directory(AAD), AAD Connect, ADFS and Office 365. Master’s degree in Computer Science, Computer Engineering, Technology, Information Systems (CIS/MIS), Engineering or related technical discipline, or equivalent experience/training.
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