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At least 1 year experience with cloud computing (AWS, Microsoft Azure, Google Cloud) Utilize programming languages like SQL, Python and tools like databricks, iceberg, presto, graphql and Cloud based data technologies.
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Utilize programming languages like Java, Scala, Python and Open Source RDBMS and NoSQL databases and Cloud based data warehousing services such as Redshift and Snowflake. 5+ years of experience with a public cloud (AWS, Microsoft Azure, Google Cloud.
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Experience with cloud computing platforms such as AWS, Azure or HPC schedulers such as Kubernetes, Slurm a plus. We are looking for an experienced engineer to join our quantum and future computing team to building proofs of concept that demonstrate how these technologies can solve use cases from across the firm.
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Experience with cloud platforms (e.g. AWS, Azure, GCP) and associated data services (e.g. Redshift, Data Factory, BigQuery) Stay up-to-date with the latest trends and technologies in healthcare data analytics, including machine learning, natural language processing, and distributed computing.
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Extensive experience or knowledge of cloud-based data platform technologies such as AWS, Microsoft Azure or Google Cloud Computing. Intimately familiar with data technologies, data architecture frameworks, cloud platforms and the emerging trends in technological advancements.
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Demonstrated mastery of a broad array machine learning and deep learning approaches across a variety of deep learning architectures, deep learning libraries, and cloud-computing development environments, with an emphasis on ML techniques for studying small molecule drug development (particular attention paid to candidates with deep Graph Neural Network experience.
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Design, development, testing, automation, deployment, and support of enterprise lifecycle management solutions for the following platforms: Mac and Windows workstation, lab computing, hosted computing, virtualized desktop and application computing, mobile device management, software distribution, and enterprise configuration management.
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Experience developing and programming embedded computing systems (ideally, both off-the-shelf devices such as Arduino and Raspberry Pi, and custom microcontroller circuits). Experience with PCB design and layout software (e.g., Eagle, Altium, KiCad.
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Expert in Azure cloud computing, specializing in Azure data engineering stacks like ADF (Azure Data Factory), ADLS, Event Hubs, Snowflake, Databricks, streaming, Azure PowerShell, and Log Analytics.
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As a Capital One Senior Lead Software Engineer, you'll have the opportunity to be on the forefront of driving a major transformation within Capital One. Senior Lead Software Engineer, Full Stack (Remote -Eligible.
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The individual in this role will design, assemble, and maintain the mechanical, thermal, and electrical subsystems critical to the development of our quantum computing platform. Experience with a major 3D CAD software, such as Solidworks or Autodesk Inventor.
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Knowledgeable about cloud computing costs and performance and capable of providing ongoing suggestions for cost & performance optimization. Solid understanding of Snowflake computing, including its integration with Azure Data Lake, utilizing ADLS as a source for data processing.
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Infosys is seeking a AWS and Databricks Cloud Data Engineer. Experience in large scale cloud data migrations using Databricks, Snowflake, Python, Spark, SQL. Sound knowledge of software engineering design patterns and practices.
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Pay Rate Range: $40 - $45 per hourSchedule(s)/Hours: Monday - Friday 9:00 AM - 5:00 PMPosition Title: Senior Engineering Assembly TechnicianSummary:The individual in this role will design, assemble, and maintain the mechanical, thermal, and electrical subsystems critical to the development of our quantum computing platform.
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Familiarity with Git/Bitbucket Server (Stash), Jenkins, and Udeploy Nice to Have: Knowledge of Cloud computing concepts and experience deploying/managing applications in the Cloud (AWS S3, EC2, Cloud Formation, Lambdas/Python) Experience in Angular, Java, Spring Boot, JPA/Hibernate, and Kafka Interview Setup: 1 round, 60 minutes - 3-4 panelists.
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cloud computing jobs Title: senior software engineer in Quincy, MA
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