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Construction Management, Materials Science, Materials Science and Engineering, Project Engineering & Management, Risk Management, Civil Engineering, Mechanical Engineering, Electrical Engineering, Industrial Engineering.
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Experience with common data science tools such as Python, R, PyTorch, TensorFlow, Keras, NLTK, Spacy, or Neo4j, and a good understanding of modeling platforms such as Azure AutoML, SageMaker, DataBricks, DataRobot, and H2O.ai.
$70 - $80 an hourExpandUpdated 1 month ago - UpvoteDownvoteShare Job
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SQL, Alteryx, Informatica, SAS, Tableau, SSRS, DataRobot etc) and technologies (Big data like Hadoop, Python/R Programming, AI/Data Science, Builds processes supporting data transformation, data structures, metadata, data quality controls, dependency, and workload management and defines and builds data pipelines and complex data sets to enable data-informed decision making, identifying and raising risks at all stages of the data engineering process.
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Utilize Hadoop technologies, Data Science, Data Engineering and Machine learning capabilities. DUTIES: AT&T Services, Inc., is seeking a Senior-Big Data Engineer in Dallas, TX (& various unanticipated locations throughout the US; may work from home) to produce batch and real time data pipelines for our network and NLP based use cases for our data scientists and other developers.
$140,000 - $231,100 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Strong in: Python, Spark/PySpark, Big Data Platforms (Databricks/Delta Lake), Database/Data warehousing fundamentals (MS SQL Server/MySQL), Unix/Linux Shell scripting. UWorld is seeking a Data Engineering Intern who is passionate about creating an excellent user experience and enjoys taking on new challenges.
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Track any requirement changes coming outside of project milestones as change requests for future releases using requirement tracking module in HP ALM and JIRA. Build Database/UI design and Schema for Big data, Hadoop, Oracle, Teradata, and Netezza to store the data and Audit trial details for Treasury and Enterprise Risk Management data for bank’s Retail products.
$186,701.16 - $213,000 a yearFull-timeExpandApply NowActive JobUpdated Today - UpvoteDownvoteShare Job
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Bachelor's in Business, Computer Science, or related field of study. Working knowledge and experience with data platforms/storage/warehousing (e.g., Microsoft Fabric, Amazon AWS, Google Big Query, Snowflake, Domo, Microsoft Azure, Microsoft PowerAutomate.
$100,000 - $180,000 a yearFull-timeExpandApply NowActive JobUpdated 1 month ago - UpvoteDownvoteShare Job
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Assist in growing data science practice by meeting business goals through client prospecting, responding to proposals, identifying and closing opportunities within identified client accounts.
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Experience in Master Data Management for critical business entities supporting master data set across the bank. Big Data Analytical Platforms: Experience with big data technologies like Synapse Analytics, Microsoft Fabric, Hadoop/hive, Greenplum, and Databricks etc.
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Bachelor's degree in Planning, Landscape Architecture, Urban Design, Engineering, Geology, Biology, Environmental Science, Anthropology, Archaeology, or related field and 8 years relevant experience.
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OR Two (2) full academic years of progressively higher level graduate education leading to a graduate degree in a related field of study such as: business administration (finance, accounting, auditing, marketing and business law) law, economics, criminology, political science, government, social science, communications, psychology, public administration or other related field.
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Stay up-to-date with industry best practices and technologies in analytics and data engineering. You will play a crucial role in leveraging data to drive business decisions and innovation.
$190,000 - $210,000 a yearFull-timeExpandApply NowActive JobUpdated 1 month ago - UpvoteDownvoteShare Job
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Softrams is a Maryland and Virginia-based small business information technology, consulting, and solutions provider specializing in emerging technologies for UX/UI, mobile apps, DevOps, big data analytics, data science, and cyber security.
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Goldman Sachs Engineers are innovators and problem-solvers, building solutions in risk management, big data, mobile and more. Computer Science, Mathematics, Engineering or other related degree at bachelors level.
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Bachelors degree or Masters degree in Computer Science, Computer Engineering, Electrical Engineering, Information Systems, IT. Who Should Apply Recent Computer Science/Engineering /Mathematics/Statistics or Science Graduates or People looking to switch careers or who have had gaps in employment and are looking to make their careers in the Tech Industry.
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big data science management computer engineering small business jobs in Dallas, TX
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