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You should have knowledge of quantum computing, instrumentation and circuitry in electrical measurements, programming and data and statistical analysis. The Amazon Web Services (AWS) Center for Quantum Computing in Pasadena, CA, is looking to hire a Quantum Hardware Development Engineer in the Test and Measurement group.
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Js) and programming languages (e.g., SQL, Java, Scala) to design, build, and maintain complex data processing, ETL (Extract, Transform, Load) tasks, and AWS automation. 5+ years of hands-on experience with AWS cloud services, such as Apache Spark, with Scala, AWS EMR, Airflow, RedShift.
Full-timeRemoteExpandApply NowActive JobUpdated 9 days ago - UpvoteDownvoteShare Job
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Experience in Object Oriented Programming (Java, Scala, Python), SQL, Unix scripting or related programming languages and exposure to some of Python's ML ecosystem (numpy, panda, sklearn, tensorflow, etc.
Full-timeExpandApply NowActive JobUpdated 6 days ago - UpvoteDownvoteShare Job
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Solid experience as a Python Developer, sharp analytical and problem-solving skills, practical experience in agile-oriented processes and tools, knowledge of SQL (PostgreSQL is a plus), experience with Linux/Bash and/or CI/CD/Jenkins is a plus, familiarity with AWS is a plus, minimum Bachelor's degree in IT, computer science, or physics/mathematics field, good English and communication skills.
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Hands-on experience with Postgres SQL, RedShift, Redshift spectrum, AWS Glue, Athena, Snowflake utilities, Snow SQL, Snow Pipe, AWS Lambda model techniques using Python. Must have 5+ years of experience in EMR, Databricks, Spark, pyspark programming, Jupyter notebook and shell scripting.
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Utilize programming languages like JavaScript, Java, HTML/CSS, TypeScript, SQL, Python, and Go, Open Source RDBMS and NoSQL databases, Container Orchestration services including Docker and Kubernetes, and a variety of AWS tools and services.
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Perform complex application design and programming activities in the latest technologies: Java, Node, REST, microservices, AWS/Cloud infrastructure, Kubernetes, Docker, Jenkins, Azure DevOps, GitHub Enterprise.
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You will be utilizing Snowflake and/or Databricks tools, cutting-edge DevOps technologies, developing advanced analytics products, and applying data and statistical programming tools to enterprise data to advance and enable key mission outcomes within cloud environments (GCP, AWS, Azure.
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Utilize programming languages like Java, Python, SQL, Ruby and Go, Container Orchestration services including Docker and Kubernetes, CM tools including Ansible and Terraform, and a variety of AWS tools and services.
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Familiarity with other analytics tools and platforms including MS PowerBI, Tableau, Spotfire, Qlik, Azure Analytics, AWS Redshift, Snowflake and Google BigQuery. Experience building custom widgets and visualizations in SAC using R programming.
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Skilled in programming languages like Python, R, SQL, and experience in working with data visualization tools like Tableau and Power BI. Experienced in working in AWS with AWS data and analytics services, such as RDS, DynamoDB, Redshift, Aurora, S3, and Database Migration Service (DMS.
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Experience in designing, configuring, programming, installing, or servicing two or more of the following products: Siemens, Honeywell, Schneider Electric, Rockwell Automation, Ignition, Tridium Niagara, Eaton, ABB, Johnson Controls, APC, or other.
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Utilize programming languages like Python and Go, Open Source RDBMS and NoSQL databases, Container Orchestration services including Docker and Kubernetes, and a variety of AWS tools and services.
InternExpandApply NowActive JobUpdated 23 days ago - UpvoteDownvoteShare Job
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At least 1 year experience with cloud computing (AWS, Microsoft Azure, Google Cloud) 3+ years of experience with AWS, GCP, Microsoft Azure, or another cloud service. 2+ years of experience with OpenSearch, Kafka, Vue.js and some exposure to Machine Learning.
Part-timeExpandApply NowActive JobUpdated 2 days ago - UpvoteDownvoteShare Job
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Utilize programming languages such as Java, Python, SQL, Node, Go, and Scala, Open Source RDBMS and NoSQL databases, Container Orchestration services including Docker and Kubernetes, and a variety of AWS tools and services.
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