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A bachelor's degree in computer science, business or equivalent experience and eight (8) or more years of experience as a data engineer, with strong proficiency Databricks, and Azure Data Factory.
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Bachelor's Degree Management Information Systems, Finance, Mathematics, Economics, Computer Science, Engineering, Statistics, Public Health, Epidemiology or related quantitative discipline.
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Bachelor of Science/ Bachelor of Technology/ Bachelor of Engineering, with a concentration in computer science, information systems, information security, math, decision sciences, risk management, engineering (mechanical, electrical, industrial) or other business/technology disciplines or equivalent work experience.
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Master’s Degree or Ph. D. in Data Science, Operations Research, Psychometrics, Marketing Science, Finance, (Bio)Statistics, Econometrics, Computer Science, Applied Mathematics, or another quantitative field.
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Not required, but typically holds BsC or MsC college/university degree in Information Security, Cybersecurity, Computer Science or Software Engineering. Holds at least one of the following Information Security certifications: CCSP, C|EH, OSCP, GCIH, CISSP, CISA, CISM.
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Demonstrated expertise in data engineering, data science, machine learning, and business intelligence principles, with a preference for hands-on experience in large-scale data engineering projects or data science/ML initiatives.
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Bachelors degree or Masters degree in Computer Science, Computer Engineering, Electrical Engineering, Information Systems, IT. Bachelor's degree or master degree in Computer Science, Computer Engineering, Electrical Engineering, Information Systems, IT.
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5+ years of experience in data analysis or data science, with 3+ years focusing on machine learning problems, ideally in a relevant space (KYC, sanctions detection, anti-fraud detection, treasury management, crypto/blockchain data science.
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KEY QUALIFICATIONS: Python, SQL Data processing, ML experience Data Warehouse knowledge ETL pipeline knowledge Data Engineering Data Science Data Analytics, Data Mining PLEASE HAVE KNOWLEDGE OF ONE OR MORE OF THE FOLLOWING TECHNICAL SKILLS: Kubernetes, Tableau, PowerBi MongoDB Microsoft Cloud Services like Azure and AKS Snowflake SQL Server data platform Software development (including design, implementation, testing, and change management.
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Industries served by the Operational Partnership Services practice include private equity, real estate, telecom, technology, healthcare, media & entertainment, energy, retail, and financial services that frequently involve asset management, venture capital, and international outbound joint ventures.
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At HRT we welcome a variety of expertise: mathematics and computer science, physics and engineering, media and tech. Bachelor's degree in Computer Science, Computer Engineering, or a related field.
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This role will drive data engineering for large-scale data science initiatives across a wide variety of strategic projects. Chip in to data engineering and data science frameworks, tools, and processes.
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Bachelor's or Associate degree in Art, Visual Communication, Commercial Art, Computer Graphics, Graphic Design, Interactive Media, Interactive Technology, Computer Science, Human-Computer Interaction, Interaction or Interactive Design, English and/or Technical Communication, Interface Design, UI Design, Visual Design, User Experience Design, Web Design, or.
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Data Management and Integrity: Maintain data accuracy in the Workday Adaptive Planning tool by managing non-labor access and ensuring data integrity across all financial processes.
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Softrams is a Maryland and Virginia-based small business information technology, consulting, and solutions provider specializing in emerging technologies for UX/UI, mobile apps, DevOps, big data analytics, data science, and cyber security.
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data engineering financial services computer science jobs Company: Dice in Austin, TX
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