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Technical Skills:o Strong expertise in Azure services and management, particularly Azure data serviceso Proficient in IaC tools, particularly Terraform. Knowledge of data engineering and big data technologies is advantageous.
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Desired: · Shall have experience diagnosing and troubleshooting large-scale cloud computing systems, including familiarity with distributed systems e.g. Hadoop, CASSANDRA, SCALITY, SWIFT, Gluster, Lustre, GPFS, Amazon S3, or another other comparable technology for big data management or High-performancecomputing · Demonstrated ability to work independently on complex tasks, and show a willingness to educate and train more junior technicalresources.
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At least 5 years of experience in software/technology customer facing roleDegree in a technical discipline, such as Computer Science or MathMinimum 10+ years of total IT experienceNice to HaveExperience in implementing big data and Lakehouse solutions using DatabricksExperience in implementing Kubernetes, Dockers, DevOps principlesDeep understanding of other cloud architectures including Azure, AWS cloud, IBM Bluemix and differentiating factors between the components.
$165,000 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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The ideal candidate will have strong working knowledge in Linux systems administration, and a background in Big Data solutions, configuration management, automation, scripting, and AWS. The DevOps Engineer will be responsible for implementing infrastructure, automating deployment processes, and ensuring the reliability and scalability of our services.
$180,000 a yearFull-timeExpandApply NowActive JobUpdated 2 days ago - UpvoteDownvoteShare Job
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Kubernetes Software Engineer -SWE1 Security Clearance required: TS/SCI with Poly clearance Location: Annapolis Junction, MD with 50% telework Description: The Software Engineer develops, maintains, and enhances complex and diverse software systems (e.g., processing-intensive analytics, novel algorithm development, manipulation of extremely large data sets, real-time systems, and business management information systems) based upon documented requirements.
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The Software Engineer develops, maintains, and enhances complex and diverse software systems (e.g., processing-intensive analytics, novel algorithm development, manipulation of extremely large data sets, real-time systems, and business management information systems) based upon documented requirements.
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Experience modeling, recommendations/personalization, working with big data using tools such as Apache Spark, Databricks, and Azure cloud computing strongly preferred. You'll also design, implement, and maintain highly scalable big data pipelines, to support internal and external client partners data delivery requirements.
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Proficient in configuration management tools such as Ansible or Puppet. Knowledge of AWS services (EC2, S3, Lambda) and their application to deployment and management of infrastructure. Experience with application and OS deployment, scaling, and management.
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Enlighten, honored as a Top Workplace from USA Today, is a leader in big data solution development and deployment, with expertise in cloud-based services, software and systems engineering, cyber capabilities, and data science.
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Deliver insights to help our clients turn data into action as a Database Analyst Advisor at GDIT. Your work will provide transformative solutions to our clients' big-data obstacles and help advance the mission.
$149,500 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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77 West Wacker Dr (35012), United States of America, Chicago, IllinoisLead Data Engineer (Python, Spark, AWS)Do you love building and pioneering in the technology space? At Capital One, you'll be part of a big group of makers, breakers, doers and disruptors, who solve real problems and meet real customer needs.
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Demonstrated ability to work experience with OpenSource (NoSQL) products such as Hbase /Accumulo, Big Table, et cetera. Develop software solutions by analyzing system performance standards, confer with users or system engineers; analyze systems flow, data usage and work processes; and investigate problem areas.
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Must have a Computing Environment certification (AWS, Linux, Kubernetes, etc.) Determination of official compensation or salary relies on several different factors including, but not limited to: level of position, complexity of job responsibilities, geographic location, work experience, education, certifications, Federal Government contract labor categories, and contract wage rates.
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Experience with big data technologies like: Hadoop, Spark, MongoDB, ElasticSearch, Hive, Drill, Impala, Trino, Presto, etc. Experience with big data technologies like: Hadoop, Spark, MongoDB, ElasticSearch, Hive, Drill, Impala, Trino, Presto, etc.
$200,000 a yearFull-timeExpandApply NowActive JobUpdated 1 month ago - UpvoteDownvoteShare Job
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Work is performed in a hybrid environment (on average 1-2 days a week) with a great team. Reflexive Concepts is seeking a skilled DevOps Engineer to join our growing team! Ability to develop in multiple programming languages such as bash, Python, or Go.
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big data management jobs in Columbia, MD
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