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Salary: Data Entry Work from Home - Part Time Computer Job. Work from Home Online Computer Work - Administration, Data Entry & Short Studies/Feedback - Part Time & Full Time Work - No Experience Needed, Training Provided.
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With the power to apply artificial intelligence and data science to business decisions via enterprise data management solutions, we help leading companies prototype, refine, validate and scale the most desirable products and delivery models to enterprise scale within weeks.
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Experience with trends and developments in digital products, its possible effects to Experian Automotive and how to best leverage to win more share of digital media budgets, (e.g. ad tech, data/data onboarding, CRM systems, attribution models/software, targeting platforms.
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Bachelor of Science degree in Computer Science, Information Technology, Engineering or similar technical field of study. Experience with Vertica or other columnar database, and understanding of unified data analytics platform like Snowflake, Databricks etc.
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EducationBachelor's degree in Mathematics, Economics, Statistics, Computer Science, Actuarial Science, Social Science, Healthcare or related discipline or equivalent professional work experience.
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Job Requirements: Requires a Bachelor's degree in Computer Science, Finance, or Technology (will accept 3 year or 4 year degree) and 3 years' experience in Commerce or related field and tools used for data exploration and Business Intelligence (e.g. Toad, SQL, Oracle, Alteryx, SAS, SSAS, R, Python, Tableau, Qlik, MicroStrategy.
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Utilize programming languages like Java, Scala, Python and Open Source RDBMS and NoSQL databases and Cloud based data warehousing services such as Redshift and Snowflake. 2+ years of data warehousing experience (Redshift or Snowflake.
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Graduate of an Associate of Science in Nursing Degree program, a Bachelor’s Degree in Nursing or related field required. The Certified Registered Nurse Anesthetist (CRNA) provides anesthesia care for surgical patients and assists with emergency airway management and emergency IV access.
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You will work on a wide range of initiatives, whether that’s building ETL pipeline for grounding the GenAI model with domain data, or working with the DevSecOps team to build the CICD/IAC pipeline, or designing a Generative AI foundational Infrastructure that conforms to our strict security standards/guardrails or working with the data science team in their pursuit of improving the accuracy of the LLM models.
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Guide through your hands on experience leading large-scale global data lake/warehousing and analytics projects. Partner with cloud and security architects, data and software engineers to implement cutting-edge but pragmatic solutions that will enable business outcomes using a combination of deep technical skills, business acumen, and strong interpersonal skills.
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Incorporate core data management competencies including data governance, data security and data quality. You will leverage your ability to design, build and deploy data solutions that capture, explore, transform, and utilize data to support Artificial Intelligence, Machine Learning and business intelligence/insights.
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They operate a submarine's sonar, oceanographic equipment, and auxiliary sonar to conduct underwater surveillance, collect scientific data and track enemy targets. The Sailors in the Submarine Electronics Computer Field (SECF) work with a submarine's sonar, weapons, communications and navigation systems.
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Curaleaf International is the largest vertically integrated cannabis company in Europe with a unique supply and distribution network throughout the European market, bringing together pioneering science and research with cutting-edge cultivation, extraction and production.
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Understand healthcare data, including clinical data in both proprietary and industry-standard formats (HL7) Able to map and implement data standards such as SNOMED CT, RXNorm, LOINC, UCUM, ICD, CPT, CVX, etc Understand the “dirtiness” of clinical data and seek out ways to improve conformance and quality.
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Bachelor's degree in Computer Science, Engineering, or related field; advanced degree preferred. Technology:SQL Server, Snowflake, Azure Cloud, ADF, Azure Functions, Python, PowerBI, Log Analytics, App Services, Event Hubs, DBTMinimum Experience and KnowledgeSolid understanding and implementation experience of data vault 2.0 methodology.
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