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3 years big data experience Expertise in Java, Python, R, and proficiency in big data technologies such as Spark, Databricks, etc. Implement and optimize data processing workflows using Spark, Databricks, and other big data frameworks.
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The Sportsbook team here at Penn is responsible for working hand-in-hand with our Data Science, Engineering, and Data teams to support efficient development and deployment of models, forecasts, and simulations to help improve theScore Bet and ESPN Bet. Our team values creativity, collaboration, ingenuity, and ownership.
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Familiarity with data engineering concepts and tools such as data pipelines, ETL processes, SQL, and big data technologies (e.g., Apache Spark, Hadoop). Bachelor’s degree in Computer Science, Engineering, or related field.
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Must possess critical thinking and creative problem solving skills along with the ability to communicate well with stakeholders throughout the organizationEducation QualificationsBachelor's Degree RequiredMaster's Degree Computer Science, Informatics, Information Systems or another quantitative field PreferredExperience QualificationsAt least six (6) years Managing data and analytics infrastructure such as Hadoop/Spark clusters, SQL/No SQL data stores and/or application hosting platforms.
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10 Years experience in data center disciplines, computer operations, technical support, system infrastructure, telecommunications, system administration, and application support. The Chief Information Security Officer reports to the Executive Vice President, Data Strategy and Chief Information Officer for the Health System.
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Job Qualifications (Skills/Requirements) Education & Experience: Advanced degree preferred in Data Science, Computer Science, Statistics, Mathematics, or a related field. Familiarity with AI frameworks and tools such as TensorFlow, PyTorch, and OpenAI. Familiarity with big data technologies (e.g., Hadoop, Spark) and cloud platforms (e.g., AWS, Google Cloud, Azure.
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Experience with big data technologies & tools like Spark, Databricks, EMR. Bachelor's degree in computer science, Information Systems, Software, Electrical or Electronics Engineering, or comparable field of study, and/or equivalent work experience.
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Our capabilities range from C5ISR, AI and Big Data, cyber operations and synthetic training environments to fleet sustainment, environmental remediation and the largest family of unmanned underwater vehicles in every class.
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The Senior Medical Science Liaison (MSL) serves as a trusted scientific expert and partner representing Bayer in the medical community through the dissemination of and education on scientific data related to Bayer products across the product lifecycle.
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Demonstrated proficiency in the design and implementation of modern data architectures and concepts such as cloud services (e.g., AWS, Azure, GCP), real-time data distribution (e.g., Kafka, Kinesis, DataFlow, Airflow), NoSQL (e.g., MongoDB, DynamoDB, HBase, CosmosDB) and modern data warehouse tools including Snowflake and DataBricks.
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Design and implement complex data models on Azure Synapse Analytics to support data warehousing and big data solutions. Experienced in big data and NoSQL solutions by developing scalable data processing platforms to drive high-value insights to the organization.
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Serves as both the primary agent for addressing issues that impact students at risk of failing to attain their full academic potential and the school-based resource for dealing with child abuse/neglect and crisis prevention/intervention.
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Graduates of the five-year accelerated Master’s Coordinated Program will earn a Bachelor of Science in Nutrition plus a Master of Science in Nutrition and Dietetics Practice, and will be qualified to sit for the Registered Examination for Dietitians to obtain the Registered Dietitian Nutritionist credential immediately upon completing the degree and supervised practice requirements.
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Candidates for this position require an Associate's degree in an accredited Biomedical Applied Science or Electronic Engineering Technology program or related field or an equivalent combination of education, manufacturer certification/s, and experience required.
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Deloitte Risk and Financial Advisory's Financial Services Industry (FSI) Risk, Data and Regulatory professionals help organizations identify the regulatory changes impacting their business and implement effective and efficient processes to manage regulatory, capital, liquidity and interest rate risks, respond to evolving regulatory environments and implement programs, measures, and tools to help clients with a specific focus on risk, data, and regulatory processes.
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computer science big data jobs Title: professor assistant in Philadelphia, PA
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