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Our researchers have a broad range of expertise related to computer science and electrical engineering, such as AI/ML, algorithms, digital signal processing, audio engineering, image processing, computer vision, data science & analytics, distributed systems, cloud, edge & mobile computing, computer networking, and IoT.
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Experience with working in cloud-based data science, database, big data processing, and reporting tools – preferably on Azure such as Azure ML, Power BI, Azure Data Explorer/KQL, Synapse, Databricks, etc.
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A minimum of six years' experience in providing complex consultative services in the following focus areas: information strategy, big data architecture, information/data governance, master data management, data quality, data integration particularly in a life science or healthcare setting.
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Bachelor's or Master's degree in computer science, Engineering, Statistics, or a related field. Experience with Databricks for data engineering and exploratory data analysis.
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Verifies GCIC/NCIC entries as well as maintaining and updating the GCIC/NCIC computer system. Analyzes and evaluates data fields of GCIC/NCIC records in department. Inquiries against confidential criminal justice data bases for compliance with the Rules of the GCIC Council, federal and state laws and operational procedures.
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A robust understanding of core data engineering topics - ETL vs ELT, structured and unstructured data, data quality and data governance. The US data engineering chapter is a professional practice of data and data quality engineers.
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Education: Bachelor's or Master's degree in Statistics, Mathematics, Operations Research, Computer Science, Information Systems, Engineering, Economics, Data Science, Data Analytics, or similar quantitative fields.
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Our client is currently seeking an experienced Data Engineer – Big Data individual for their Midtown office in Atlanta, GA. The successful candidate must have Big Data engineering experience and must demonstrate an affinity for working with others to create successful solutions.
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Required Minimum QualificationsIntern Pursuing a Bachelor’s, Master's, or Doctoral degree in Electrical Engineering and Computer Engineering, Aerospace Engineering, Software Engineering, Imaging Science, Optical Engineering, Applied Mathematics, Physics, Astronomy, Astrophysics, Computer Science or a related discipline.
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Proficiency in data engineering tools and technologies - SQL, Python, Spark, DBT, Airflow, Kafka. Solid experience implementing data lineage, data quality and data observability for big data workflows.
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The Associate of Science in Music Curriculum at Perimeter College provides a musical foundation for students and serves as a powerful bridge to the bachelor's degrees at the GSU-Atlanta campus and beyond in fields such as music education, music performance, audio engineering, composition, arts administration, and music therapy.
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A Master's or PhD degree in biostatistics, data science, biomedical informatics, epidemiology, public health, computer science, applied mathematics, engineering, or a related field.
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Technical Skills: Experience working with a wide variety of technologies, including: Electronic Medical Records, and Electronic Health Record systems (EMR, EHR) Database technologies (SQL, NoSQL, Oracle, MySQL) Big data technologies (Hadoop, Spark) Data visualization tools (Tableau, Power BI, Cogito) DevOps tools (Azure, Docker, Kubernetes, Jenkins) Enterprise systems (ERP, CRM) Familiarity with healthcare data standards and interoperability.
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Candidates must apply online and attached all required doctuments; hold a doctoral degree (PhD, MD, or equivalent) in engineering, medicine, applied mathematics, computer science, or the natural sciences.
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The School of Electrical and Computer Engineering at the Georgia Institute of Technology invites applications for a tenure-track faculty position in the area of Heterogeneous Integration and Advanced Packaging (HI/AP.
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data science computer engineering big jobs Company: Apple in Atlanta, GA
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