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At least 4 years of experience in data engineering working with Big Data Technologies: Apache Spark, Pyspark, Hadoop, and DataBricks with delta lake. Requires a minimum of a bachelor's or foreign equivalent degree in Management Information Systems, Computer Science and Engineering, or a related field plus 4 years of experience as a software developer, data engineer, or related occupation.
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Exposure to Big Data managed services such as Azure HDInsight, Databricks, Azure Kubernetes Service and AWS EMR. Exposure to managed AI/ML services such as AWS SageMaker/Azure Machine Learning to derive predictive analytical models.
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Expertise in Python and Apache Spark for large-scale data processing. - Build, configure, and manage CI/CD pipelines on Azure DevOps for ETL and data processing tasks.
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In-depth and applied knowledge of data engineering tools and techniques, including ML Ops, Databricks and/or Snowflake, AWS, DBT, AI/GenAI Data Pipelines, Data Automation, Python, Model Monitoring, and Alerting.
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Experience with Cloud-based data services and solutions (Azure Synapse / Data Lake, AWS RedShift, Snowflake, GCP Big Query) Bachelor’s degree in computer science, data science or a related field with five (5) or more years of working as a data engineer, ETL developer and/or data warehouse DBA.
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Experience in developing partner led sales in collaboration with data platform and tool vendorsIn-depth knowledge of big data technologies such as Hadoop, Spark, Kafka, and cloud platforms such as AWS, Azure, GCP, Snowflake, Databricks, etc.
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An earned doctorate, Ph. D. preferred, in Educational Psychology, Cognitive Psychology, Data Science, Cognitive Science, Information Science, or related fields. Qualified candidates will have a strong research program focused on one or more of the following areas: theoretical and empirical examinations of the various ways people think and learn in relation to technology and AI; factors that influence learning with AI or the trust of AI; design of AI-based systems that incorporate cognitive science theories; and ethical and societal implications of AI in learning and education, including bias and data privacy.
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St. Catherine University welcomes applications for an Adjunct Lecturer in Library & Information Science for Spring 2025. Adjunct Lecturer - Library & Information Science. Master of Library & Information Science, or equivalent.
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Position Summary: As we continue to grow our integration of Sports Science and motion capture data within the Minnesota Twins, we are looking to bring on someone who has experience effectively communicating biomechanical - and other related information to our coaching staff.
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Sleep Number’s proprietary software, algorithms, data and applications deliver accurate, real world, longitudinal data at scale never seen before in the science of sleep. Knowledge or experience working with Technology Product Development, User Experience, Internet of things (IOT), SaaS, PaaS, AWS, Azure, APIs, Location Based Services, hardware, software and digital signal processing, Application development, UI/ UX and quality assurance experience.
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Education / experience with quantitative analysis, statistics, and/or data science. Perform ad hoc analyses of healthcare data using MedInsight proprietary query and data visualization tools as well as use of Azure Databricks.
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Proficiency with People Analytics tools, including data visualization and analysis, highly desired (e.g., Visier, Crunchr, PowerBI, Workday, Python, R, Tableau). In partnership with the HR Enablement Director and the HR Data & People Analytics team, you will be an integral part of the development of a comprehensive people analytics strategy and play an active role leading its execution.
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Programming experience (Matlab, Python) Experience in image processing and analysis Experience with MRI data, in particular diffusion MRI processing and analysis skills Peer reviewed research publications in reputed journals in the field Preferred Qualifications: Experience with MRI data in neurological disorders such as Amyotrophic Lateral Sclerosis (ALS) and Parkinson's disease.
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Applicants should have a degree in a sports related field or be working towards a degree in one (Physical Education, Sports Management, Coaching, Child Care, Kinesiology, Exercise Science, etc.
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Note: Data Annotation payment is made via PayPal. We will never ask for any money from you. Fluent in English● A bachelor's degree (completed or in progress)● Excellent writing and grammar skills● Strong research and fact-checking skills to ensure accuracy and originality● Previous experience as a Freelance Writer, Content Writer, Editor, Copywriter, Copy Editor, or those with experience in journalism and/or media is preferred but not required.
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big data science processing python jobs Company: Pwc in Minneapolis, MN
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