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Job Description: The big data architect will support the development of autonomous driving software solutions by playing the role of subject matter expert for the big data systems, underlying data and data products.
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If so, Apple's Global Business Intelligence (GBI) team is seeking an experienced Software Engineer to build high quality, scalable and resilient distributed systems that power Apple's analytics platforms and data pipelines.
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Exposure to Business Process Analysis, Data Analysis, Finance, and Accounting, Excel and Macro Development, SAS or Other Reporting Tools, Data and Analytics, Microsoft Power Platform, SharePoint, RPA (Automation Anywhere big plus), Software Development, Project Management, Business Process Improvement/Engineering (BPI), Technical Support and Customer Service, Business Knowledge (Any Area) are all a big plus.
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Familiarity with relevant technology, such as Big Data (Hadoop, Spark, Hive, BigQuery); Data Warehouses; Business Intelligence; and Machine Learning. 7+ years of direct sales experience carrying and exceeding a quota and selling enterprise software/ software-as-a-service (Business Intelligence/ Data Warehouse/ Big Data/ Advanced Analytics/ Machine Learning) to C-level executives.
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In addition, the thermal engineer provides regular Q&A and on-site support to ZT Systems’ manufacturing engineering group as well as technical support for customers. What You'll DoThe Senior Thermal Engineer is responsible for assisting in the development of key thermal components & systems from concept to engineering release of new products.
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Recognized Subject-Matter Expert big data engineering and cloud-based data warehouse. 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.
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Bachelor’s degree in business administration, computer science, mathematics/statistics, engineering, management information science, data processing or related field and experience with Tableau, Cognos/Argos, SQL, and/or SAS is required.
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The Engineering & Sciences organization supporting the Navigation and Inertial Measurement Unit (IMU) business area at Northrop Grumman Mission Systems (NGMS) is looking for you to join our team as a SEIT (Systems Engineering Integration & Test) Lead based out of Woodland Hills, CA.
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Experience working with big data distributed programming languages, and ecosystems such as Spark, Hadoop, MapReduce, Pig, Kafka. Strong Data Engineering skills. Collaborate with data scientists, software engineers, domain experts, and client stakeholders to understand requirements, gather feedback, and integrate machine learning solutions into larger systems or products.
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6 years of experience must include: Ab initio, Informatica, Data Stage; Teradata, IBM DB2, Cognos, Oracle PL SQL; Autosys, Control-M, Erwin, XML, HTML, CSS, Unix Shell Scripts; Data Analysis, Data Processing, Code Optimization, Performance tuning; Automating Business Process and Models; Microsoft Visio, Web Services, Crystal Reports; and HP Quality Center, ALM, VSS, EME, XSD. At least 3 years must include: Hadoop, HDFS, Big Data, Hive, Spark.
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Job Segment: Electronics Engineer, Systems Engineer, Aerospace Engineering, Engineer, Engineering, Aviation. Development experience with one or more systems within HUD, EVS, Communications, Weather Radar, TCAS, Transponder, IRS, AHRS, Integrated Standby Instrument System , and Air Data.
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QualificationsBachelor's degree in engineering or related field (preferred); or, Electrician Trainee/Apprentice/Certified Electrician, or commensurate experience. Field experience: hands-on solar, electrical panel wiring, or related electrical installation; familiarity with utility and field metering and data collection software.
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Bachelor's Degree Management Information Systems, Finance, Mathematics, Economics, Computer Science, Engineering, Statistics, Public Health, Epidemiology or related quantitative discipline.
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Consult with data stewards, business process owners, subject matter experts, technical experts, end users and other stakeholders to gather information about the current and target state business process, data architecture, domain data models, tools and frameworks used for data capabilities, data sources, control features, data interfaces with other systems required.
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The position will pursue new opportunities in the areas of intelligence analysis, training, and mission support (all source, SIGINT, OSINT, HUMINT, Counterintelligence, GEOSPATIAL, Virtual Reality Training); targeting and mission planning; systems engineering and integration of C5ISR systems; and data ingest and integration.
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big data engineering business systems jobs Company: Amazon Web Services Aws
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