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Big Data Technologies: Expertise in big data technologies and frameworks such as Spark, HDFS, and Hive. Scheduler Experience: Experience with schedulers like Apache Airflow, Apache Luigi, and Chronos.
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The ideal candidate has experience working remote in a large complex company in the areas of data governance, information security, risk management, and regulatory compliance, with a proven ability to build relationships in business, security, and IT functions.
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Work At Home Data Entry Research Panelist Jobs - Part Time, Full Time This work-from-home position is ideal for anyone with a diverse professional background, including administrative assistants, data entry clerks and typists, customer service reps or drivers.
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We are on the forefront of CBRN defense and we are looking for talented Data Scientists that have applied experience in the fields of artificial intelligence, machine learning and/or natural language processing to join our team.
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Programming language proficiency in Python, etcExperience in Big data technologies such as Spark and familiarity with advanced analytics and machine learning conceptsAdvanced understanding of data normalization and denormalization techniques.
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Certifications or experience with relevant cloud platforms or data analytics technologies, such as Databricks (Fundamentals, GenAI Fundamentals, AWS Platform Architect, Platform Admin) and AWS (Cloud Practitioner, AI Practitioner, Solutions Architect, DevOps Engineer, Developer)Understanding of cloud data warehousing, ETL, and business intelligence concepts.
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Experience in Advanced Geophysical Classification (AGC) data acquisition and familiarity with data processing software (, Oasis Montaj) a plus. Field data acquisition utilizing various geophysical sensors including Metal-Mapper, APEX, UltraTEM, EM61, GPR and Magnetometers.
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Look for ways to improve processes to maximize efficiency and remove redundancyRequirements:Min bachelor’s degree with a preference in Economics, Statistics, Mathematics, Business & Management/MBA, Computer ScienceSix (6) or more years of experience in a combination of the following areas: Consulting, Risk and Compliance, Internal Audit, Research, Corporate Strategy, Data Science etc.
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Test, innovate, and build custom solutions with our world-class digital marketing, data science, and big data talent. Very comfortable working in the weeds with data using tools such as Microsoft Excel, SQL, Google Analytics, Looker/Looker Studio, Google Tag Manager, and other common reporting platforms.
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Analyze LIS data to confirm customer volumes, test menus and validation of project implementation and cost savings results. Collect and analyze before and after data points to ensure cost savings goals are met and customer sign-off in a timely manner.
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Extensive experience in Data Governance, Data Modeling, Data Security, Data Strategy, Data Integration, and Master Data Management (MDM). Key Responsibilities:Act as a strategic advisor to clients, driving the formulation of Enterprise Data roadmaps by identifying current setup gaps and charting a path forward.
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Your Role With Us: The Cardiac Care Clinical Data Abstractor is accountable for supporting excellence in clinical practice within the Cardiovascular Service Line. Key responsibilities include: 1.
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Understanding of architecture patterns, principles, and best practices for Microservices/API, Streaming/Eventing, Integration, High Availability, Cloud, Security, Devops and Data Experience in deploying and supporting web, containerized, and serverless infrastructures.
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Quarterly team (virtual) gatherings and annual all-company offsites in cities around North America - Learning & Development Fund for upskilling or products to improve your day-to-day work life - One-time remote work set-up stipend to make your at-home office dazzle - Teammates around the world in 8 different time zones.
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Creating Peace of Mind by Pioneering Safety and SecurityRetail Business Analyst – Remote WI or CST or EST Time ZonesRetail Business AnalystThe Retail Business Analyst is responsible for account demand planning & product forecasting, order management, and providing robust data analytics & reporting to ensure account success and decision confidence.
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