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Undergraduate degree in electrical engineering, computer science, computer engineering, materials science, physics, or an equivalent degree. The preferred candidate will have an undergraduate degree in electrical engineering, computer science, computer engineering, materials science, physics, or an equivalent degree.
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Data Engineering Strategy: Develop and execute a comprehensive data engineering strategy through DataBricks Medallion Architecture. Quality Assurance: Establish and maintain rigorous testing and quality assurance processes to ensure the accuracy and reliability of data engineering solutions.
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Spectrometers, colorimetric auto-analyzer, incubators, sterilizers, inverted biological and light microscopes, total organic carbon analyzer, microcoulometric titration system, basic laboratory equipment, PPE, glassware, analytical balance, specification probes and autoclave; and office equipment including computer, calculator and hand tools.
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Our people extend into all industries we conduct work with our clients in the areas of; data science, data engineering, data strategy, intelligent process automation, data ecosystems, intelligent industry/IoT, enterprise management, customer-first marketing, and data partnerships/disruptors (such as SAP, Microsoft, Google, AWS, Snowflake, Oracle, Adobe, etc.
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Data science, data analysis, statistics, or related field, Master’s degree in Business, Computer Science, Engineering, Statistics, Economics, Analytics, Mathematics, Computer Science, Information Technology or related field, Related industry experience (for example, retail, merchandising, healthcare, eCommerce), Successful completion of assessments in data analysis and Business Intelligence tools and scripting languages (for example, SQL, Python, Spark, Scala, R, Power BI, or Tableau.
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Actuarial Science, Business Administration/Management, Commerce, Computer and Information Science, Computer Engineering, Computer Programming, Data Processing/Analytics/Science, Economics, Engineering, Engineering and Business, Finance, Information Technology, Management Information Systems, Mathematics, Mechanical Engineering, Operations Management/Research, Risk Management, Software App, Statistics.
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Masters degree in Computer Science, Computer Engineering, Technology, Information Systems (CIS/MIS), Engineering or related technical discipline, or equivalent experience/training.
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B.S. degree in Systems Engineering, Software Engineering, Computer Science or STEM (Science, Technology, Engineering, or Mathematics) discipline, such as Aerospace, Mechanical, or Electrical Engineering.
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This role is pivotal to the success of our data engineering team, as it involves working with cutting-edge tools and technologies to deliver robust data solutions. Expertise in Azure Data Factory (ADF), Azure Synapse Analytics and Azure Data Lake Storage (ADLS.
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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 looking to make their careers in the Tech Industry.
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Master’s degree in Math, Statistics, Data Science, Analytics, Econometrics, Computer science, Operations Research, Behavioral Science, or another analytical/quantitative field required.
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Ultra-violet, visible, infra-red, atomic absorption and ICP spectrophotometers, and gas/chromatograph/mass spectrometers, colorimetric auto-analyzer, incubators, sterilizers, inverted biological and light microscopes, total organic carbon analyzer, microcoulometric titration system, basic laboratory equipment, PPE, glassware, analytical balance, specification probes and autoclave; and office equipment including computer, calculator and hand tools.
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Big Data Platform Engineering manages a significant distributed Cloudera HDFS storage footprint, has recently adopted Airflow and has also started to explore other Open Source offerings, such as Ozone.
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A minimum of a Bachelor’s Degree in Computer Science, a related filed, or equivalent work experience (four years of related work experience) is required. HF Sinclair in Dallas, TX is seeking an IT Director, Digital Workplace who will be responsible for managing the Digital Enterprise Services staff and directing long-term strategies for technical areas under their accountability, specifically end-point engineering, IT Service Management (ITSM), and the overall employee user experience.
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Job Qualifications:Master’s Degree or higher in machine learning, science, math, statistics, engineering field, or equivalent work experience. Technical Acumen:Perform model training and validation using various types of machine learning techniques on structured/unstructured data, including imagery, text and graphs.
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data science computer engineering jobs Company: Texas Health Resources in Dallas, CA, Arizona
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