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To deploy, triage and maintain a production big data pipeline using a microservice architecture running on Kubernetes, Elasticsearch backend, and Kafka messaging. To deploy, triage and maintain a production big data pipeline using a microservice architecture running on Kubernetes, Elasticsearch backend, and Kafka messaging.
Full-timeExpandApply NowActive JobUpdated 6 days ago - UpvoteDownvoteShare Job
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GAI's team members work side by side with government IT executives and OEM partners to solve complex business problems such as AI/ML, RPA, Cyber Security, Big Data, Data Center & Cloud.
Full-timeExpandApply NowActive JobUpdated 11 days ago - UpvoteDownvoteShare Job
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Must have an active Top Secret security clearance with the ability to obtain and maintain a TS/SCI with Polygraph security clearance. Experience with any of the following technologies: Kafka or other message passing systems (AMQP, JMS.
$105,000 - $130,000 a yearFull-timeExpandApply NowActive JobUpdated 16 days ago - UpvoteDownvoteShare Job
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Development experience, i.e. Bash, PowerShell, SALT, Python, Groovy, Java, etc. Container or container orchestration experience, i.e. Docker, Docker swarm, Kubernetes, etc. DevOps Engineer - TS/SCI. Use Helm to configure Kubernetes deployments to support new feature requirements.
Full-timeExpandApply NowActive JobUpdated 10 days ago - UpvoteDownvoteShare Job
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Oversees the development and management of a relational database (big data warehouse) to harmonize data and specimen tracking across multiple studies. Proficiency in data analyses using statistical tools such as SAS, Stata, and GraphPad Prism.
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We're on the lookout for a meticulous and dedicated Data Manager to spearhead our integration efforts with Microsoft Teams and Avaya telephony solutions. Expertise in Microsoft Excel, including advanced formula usage, pivot tables, and data visualization tools.
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Improve scalability and performance of the platform through integration with big data frameworks (Databricks, Snowflake, etc. Experience with data visualization tools and packages like matplotlib, Plotly, Tableau, Qlik, etc.
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Implement data processing pipelines using Azure Data Factory, Databricks, Azure Machine Learning, Azure Logic Apps, Azure Function Apps, Azure Kubernetes container and other big data services.
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Knowledge or practical experience with relevant programming languages, data visualization, data reporting (like Tableau and PowerBI), machine learning, and big data. The successful candidate will possess the technical knowledge and familiarity with programming languages, data visualization methods, applying machine learning, and big data.
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Data Engineering & Backend Proficiency: 7+ years of experience as a Big Data Engineer or Backend Engineer, demonstrating a strong understanding of data systems design and development.
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Data backup and recovery solutions (Datto, Code42, AWS Glacier, etc) Apple MDM (Jamf, Addigy) experience is a big plus. You have previously worked with MSP tools such as Beyond Identity, Okta, HaloPSA, NinjaRMM, Liongard, Auvik, Jira, Cato, Crowdstrike, Intune, MS Graph API, Hudu, PagerDuty, Rewst, Slack, etc.
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Qualifications: Mobile Tech PC Tech Big Data Machine Learning. You have provable hands-on experience with large-scale service APIs, big data, distributed computing and an understanding of things like High Availability, Failover, System testing/validation, Common Vulnerabilities and Exposures.
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From large scale mass communication projects to highly secure and confidential data analytics using Big Data frameworks like Hadoop and AWS Redshift, ODS has a broad set of proven technical capabilities that help companies make complex digital transformations.
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Keywords:Boston MA Jobs, Lead C# Software Developer, C#, Python, ETL, RESTful, SOAP, OOP, Data Structures, Algorithms, Cloud, AWS, Remote, Work From Home, Software Engineer, Programming, Programmer Analyst, Massachusetts Recruiters, IT Jobs, Massachusetts Recruiting.
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SAIC is interested in hiring a Senior Software Engineer for one of our programs supporting the FDA. SAIC supports the FDA and its scientists and medical reviewers in Scientific Computing which includes, technical and research aspects of bioinformatics, scientific software support,AI/ML, DevOps and Big Data analytics.
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