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Research and develop "Big Data solutions using technologies such as Hadoop, Storm, Databricks, Spark. Title: Programmer Analyst - Information Technology. Automate and optimize processes, using tools like Jenkins, Azure (DevOps) Pipelines, Maven, Ant, Gradle, Chef, Puppet, Docker, and Urban Code.
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With offices in Washington DC and San Diego, CA, CTC is a leading technology company providing lifecycle IT, data analytics, cloud, agile software development, DevOps, Test Automation, Cyber Security, and infrastructure solutions.
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The successful Software Engineer candidate will be part of the KBR team supporting the Test Resource Management Center’s (TRMC) Big Data (BD) and Knowledge Management (KM) Team working on prototype BD and KM systems for DoD test ranges and various acquisition programs.
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IT staffing and placement such as Project Managers, Agile/Scrum Masters, Business Analysts, DBAs, Software Engineers, Mobile Developers (iOS, Android), DevOps, Automation, QA, Systems & Network Engineers, Cyber Security / Information Security Specialists, ERP, CRM, Business Intelligence, Data Warehousing, Big Data and Creative (UI/UX, Web Design.
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As a DevOps Engineer at TRM Labs, you will collaborate with an experienced team of data scientists, engineers, and product managers to build scalable infrastructure for TRM's products and services.
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Plus, to be a Committer or PMC Member with the Apache Software Foundation on big data technologies: Apache Spark, Hadoop Stack, Kafka, Comet, Atlas, delta. Recognized Subject-Matter Expert big data engineering and cloud-based data warehouse.
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IT Advisor, Technology Consulting, Digital and Emerging Technologies, Microsoft – Data & AI - Azure Data Platform Engineer (Manager) (Multiple Positions) (1503803), Ernst & Young U.S. LLP, Atlanta, GA.
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4+ years of professional experience in data software development, programming languages and developing with big data technologies. Advanced programming experience and big data experience within Python, Containerization (Docker and Kubernetes), GIT and GIT lifestyle, Databricks, Hive, Kafka, spark, PowerBI.
$82,000 - $185,000 a yearFull-timeExpandApply NowActive JobUpdated Yesterday - UpvoteDownvoteShare Job
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8+ years of experience managing software development projects through complete release cycles 4+ years of experience in big data and event streaming technologies: Spark, Kafka, etc 4+ years of experience leading software engineering teams 2+ years of experience in cloud technologies: Azure (big plus), AWS, OpenStack, etc.
$101,231 - $172,355 a yearFull-timeExpandApply NowActive JobUpdated Yesterday - UpvoteDownvoteShare Job
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The ideal candidate will have a strong background in data engineering, with a focus on Databricks, and possess comprehensive knowledge of Terraform, CI/CD, DevOps Practices, and AWS services.
$65 - $80 an hourExpandApply NowActive JobUpdated 24 days ago - UpvoteDownvoteShare Job
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As a Software Engineer on the US Risk Technology team, you’ll serve as a technology partner for the US risk management function. We are working on challenging projects, migrating ETL jobs from Talend to DataBricks, building workflow automation solutions using Microsoft Power Platform, data flows with Azure data lake storage and DevOps environment set up.
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Experience with at least 3 of the technologies/tools mentioned here: HAProxy, Kafka, Big Data/ Hadoop, Presto, Spark, Airflow, Pinot, Druid, Opensearch, Gcp, Data Proc. Experience scaling production systems running Big Data tools like Spark, Hadoop, Apache Druid, Looker.
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Information Technology Processes: asset management, change management, incident/problem management, patch management, Software Development Lifecycle (SDLC), release management, capacity/performance management, data/records management and destruction, backup and recovery, etc.
$120,000 - $160,000 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Serving as an OIG System Engineer for all electronic discovery applications (Relativity, LAW, Concordance, IPRO,CaseMap Suite, EnCase). Performing eDiscovery functions in alignment with the Electronic Discovery Reference Model (EDRM) framework and standard including data collection, data processing, data review, production, and presentation.
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The successful candidate will function as a Product Owner and/or Release Train Engineer providing guidance and leadership of Scrum teams developing software components for intelligence data processing and analysis systems.
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