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Specifically, this experience must be in writing Big Data data engineering jobs for large-scale data integration in AWS; prior experience in writing Machine Learning data pipelines using Spark programming language is an added advantage.
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Assist in data review and writing water resources and geochemistry sections and/or reports for NEPA and/or baseline documents. Our NEPA projects are primarily focused on mining, geothermal, and utility development on public lands in the Great Basin region.
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Registration as a professional engineer, designation as a Qualified Professional by the Mining and Metallurgical Society of America (MMSA), or other qualifications needed to act as a Qualified Person (QP) for Canadian National Instrument (NI) 43- 101 technical reports.
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By applying, you consent to your information being transmitted by Jobcase to the Employer, as data controller, through the Employer s data processor SonicJobs. As a leader of DISH s 5G OSS Wireless Data Team, you will be responsible for deploying data platforms in AWS to collect large volumes of data and build analytics to support business operations.
$140,250 - $189,750 a yearFull-timeExpandApply NowActive JobUpdated 26 days ago - UpvoteDownvoteShare Job
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Experience in southwestern United States, environmental remediation, mining and mine reclamation, uranium mining and mills, interaction with regulatory agencies, tribal lands, CERCLA sites.
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2+ years utilizing SQL and visualization tools like Tableau, DOMO, Looker, Datorama, Qlik Sense, COGNOS, and/or Power BI. Advance Degree in Computer Science Data Science, Data Analytics, Business Analytics, Mathematics, Statistical, Data Engineering, or a related field.
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Demonstrates advanced functional knowledge of data visualization libraries such as matplotlib or ggplot2; knowledge of other visualization tools such as Microsoft Power BI and Tableau. Understanding of data models, large datasets, business/technical requirements, BI tools, statistical programming languages and libraries.
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When it comes to hydropower, water treatment plants, high voltage substations, dams, transportation, mining, and oil and gas, we design with the next generation in mind. Experience with Sage Timberline Estimating, On-Screen Take-Off, MCASES MII, IPE, HCSS or other databased estimating platforms.
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Proficiency with data visualization tools such as Tableau or Power BI. Lead ad-hoc requests through data gathering, analytics and putting together a business case for review by key stakeholders.
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ERM's Capital Project Delivery (CPD) team focuses on supporting development of projects in the power, technology, telecommunications, mining, chemical, transport, and infrastructure sectors. Collaborate with other ERM IAP practitioners to execute impact assessment projects (services within our IAP service area include environmental impact assessment, land planning, facility siting & permitting, risk assessment and water resources management.
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Knowledge of LTE (EPC) packet data core, Policy/charging and QoS enforcement in packet data networks, and services including RCS or VoLTE. Intelligent, IoT-enabled products will soon result in the proliferation of data and disrupt virtually all industries.
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Evangelist for data engineering function leveraging big data processing framework. Must be from a Data Warehouse/Big Data background. Experience working with external job schedulers such as autosys, aws data pipeline, airflow etc.
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Use modeling and data mining to generate deep insights, user segmentations, predictions, and functionality answering complex strategic questions that drive broader innovation. You and your team will inform product strategy and leverage our full analytics stack (Databricks, Spark, Airflow, GitHub, Python, Looker, etc) to mine insights from rich behavioral and transactional data sources for a large base of consumers across thousands of brands.
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Understanding or hands on experience with Lex, Nuance Mix, Dialog Flow, AWS and Google Cloud, R, Power BI, Tableau, Alteryx; Analyzing Conversational (Chats, Emails, Messages and Calls) data, and the use of this data to build Natural Language (NLP) modeling pipelines for intent classification, training & deploying conversational AI systems, IVR, virtual assistants, chatbots etc.
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Experience with Python programming language · Involved with setting up the data pipeline, machine learning framework—from data discovery to model deployment—in a big data environment.
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big data mining bi jobs Company: Multimedia Solutions in Littleton, CO
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