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3+ years of enterprise data engineering experience within any "Big Data " environment (preferred). 3+ years of experience working in large-scale data integration and analytics projects, including using cloud (e.g. AWS Redshift, S3, EC2, Glue, Kinesis, EMR) and data-orchestration (e.g. Oozie, Apache Airflow) technologies.
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Use Azure Databricks for big data processing and analytics. Leverage Azure Data Factory and Azure Databricks for data integration and ETL processes. Azure Data Factory, Azure DataBricks, Python experience is a plus.
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3+ years of experience working in large-scale data integration and analytics projects, including using the cloud (e.g., AWS Redshift, S3, EC2, Glue, Kinesis, EMR) and data-orchestration (e.g., Oozie, Apache Airflow) technologies.
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Specific engineering and project management tasks will include, but not be limited to, oversight of inspections and testing of soils (evaluation of soil bearing capacity and density); reinforced concrete and masonry; modular retaining wall construction, structural steel inspections, evaluation of laboratory data; inspection of shallow and deep foundation installation; and monitoring of asphalt placement.
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Technical Requirements:Minimum 5 years experience in hands-on business analytics – including exploratory data analysis, strategic segmentation, financial performance modeling, time series modeling, statistical analysis, predictive analytics, data visualization.
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Performs diagnostic Pet-CT imaging procedures to include: injection of radiopharmaceutical,protocol set-up, patient posotioning, reconstruction and filming of images, network image transfers, and archiving of image data.
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Develop or review all aspects of traffic engineering studies including data collection, microsimulation model development and calibration (SimTraffic and VISSIM) or other deterministic models such as Synchro, HCS, Vistro, or Sidra, traffic forecasting, and analysis of alternatives.
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Michelin is a global tire manufacturing company in the midst of an exciting digital transformation, with a vision of factory of the future using advanced robotic technology and data-driven engineering solutions.
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Education: BS, BSMT, or open to MLT. Cerner Pathnet is the Lab Information System used at this site- any previous experience with this is a big plusMedical Lab Technologist / CLS / MLS [HM is open to MLT with the right experience.
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Controls Technician II will: verify that point database and programming operations are consistent with university Standard operating procedures (SOPs), intended integration and sequence; and back up data from data servers or create automated backup procedures; troubleshoot and resolve inconsistencies in the function or sequence of operations; and contact Original Equipment Manufacturer (OEM) for technical support as/when needed.
$35,100 - $77,182Full-timeExpandApply NowActive JobUpdated 4 days ago - UpvoteDownvoteShare Job
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May perform bridge inspections for highway and railway bridges May be asked to participate in non-design engineering activities such as construction inspection and materials testing, surveying, and field data collection.
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IT risk and governance project leader working on sox system compliance, ITGC controls, software governance and data security. Technical data analyst working with emerging technology such as artificial intelligence or machine learning solutions to discover business trends.
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Job Responsibilities Serves as crew leader on the interstate crew, coordinating various construction, repair, and preservation activities of roads within a county or section of county ensuring that all work performed is recorded in the maintenance data management system.
$50,960 - $61,152 a yearFull-timeExpandApply NowActive JobUpdated 4 days ago - UpvoteDownvoteShare Job
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The senior analytical chemist will utilize strong analytical skills that provide data driven conclusions to assist in research and development project objectives from idea conception through product commercialization.
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These systems are connected to factory IT networks for data management, communication and monitoring. Demonstrated attention to detail and data accuracy in previous work. You will be responsible for leading projects from conception to completion, collaborating with cross-functional teams to develop innovative solutions that leverage advanced technologies such as smart material handling, robotics, AGV, ASRS, vision systems, machine learning and artificial intelligence.
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