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Hands-on experience with high-velocity high-volume stream processing: Apache Kafka and Spark Streaming (A. Experience with real-time data processing and streaming techniques using Spark structured streaming and Kafka B. Deep knowledge of troubleshooting and tuning Spark applications.
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Master’s in Computer Science/Applications, Information Technology/Systems or Electronics/Electrical Engineering + minimum 1 year experience as Big Data Engineer, Data Engineer, Data Engineering Specialist, Data Warehousing Analyst or related occupation.
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Senior R programmer with RWD experience and required experience in CMS data (Medicaid, Medicare, etc). As a Senior Programmer/Analyst, Real-World Data and Analytics, you will conduct hands-on programming (expert level for R, proficiency with SAS is also desired) in supporting our real-world data & analytics needs under the supervision of our Director HEOR analytics scientists.
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Provides bespoke subject matter expertise for R&D data to translate deep science into data for actionable insights. Specifically working with Product managers and R&D subject matter expertise to define the language (data models, ontology, standards, etc.
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In-depth knowledge of big data technologies such as Hadoop, Spark, Kafka, and cloud platforms such as AWS, Azure, GCP, Snowflake, Databricks, etc. Professional certifications in cloud computing (e.g., AWS Certified Solutions Architect, Microsoft Certified Azure Solutions Architect, Azure Data Engineer, SnowPro Core) and/or big data technologies.
$276,100 a yearFull-timeExpandApply NowActive JobUpdated 1 month ago - UpvoteDownvoteShare Job
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3+ years of hands-on experience with data science and analytics, modeling platforms, data engineering software and visualization tools (e.g. Advanced SQL, R, Python, SAP HANA, Spotfire, Tableau, Hadoop, Redshift.
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Experience with machine learning, data science tools, operational systems using AI/ML. Provide data architecture skills to support core solution architecting and integration of data sources, pipelines, and platforms, in collaboration with our Data & Analytics, and Data Science & AI colleagues.
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Develop data science solutions: Business problem understanding, data processing, algorithms to discover trends & patterns, data visualization, generation of key insights and communication to senior stakeholders.
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Develop relationships cross functionally with Data Science, Precision Medicine, Digital Health & Data, and Platform & Partnership teams to drive continuous strategies. Managing a small team of programmers conducting statistical analysis using SAS, R, Python or database programming (SQL.
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JD : Big Data Architect. Minimum 12years of experience as technical architect and should have designed big data solutions on Hadoop based technologies specially Cloudera. Working closely with the stakeholders & designed end to end life cycle on big data, data management, data governance solutions.
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The HORIBA Group of worldwide companies provides an extensive array of instruments and systems for applications ranging from automotive R&D, process and environmental monitoring, in-vitro medical diagnostics, semiconductor manufacturing, and metrology, to a broad range of scientific R&D and QC measurements.
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Experience reviewing regulatory documents, DMPK and BA reports, and non-GLP/GLP data and notebooks. At minimum, a Bachelor's degree in Chemistry, Biology or related science with a strong background in DMPK and BA including knowledge of the FDA GLPs.
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With minimal supervision and substantial latitude for independent judgement and discretion, the Finance Controller oversees all aspects of accounting, including accounts receivable management, collections, data entry, cash processing, payroll processing, recording transactions, and assisting in fact-checking.
$170,000 a yearFull-timeExpandApply NowActive JobUpdated 7 days ago - UpvoteDownvoteShare Job
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Experience with big data technologies (Databricks) and understanding of data design patterns (medallion architecture). Minimum 7 years’ experience in data science, with experience in predictive modeling and unsupervised machine learning.
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Assist with quality review of DMPK reports that are generated by DMPK scientists by fully reviewing the raw data outputs/electronic notebooks and ensuring validity and quality of reported data in the reports, in addition to reviewing DMPK regulatory documents, editing of nonclinical study reports for regulatory acceptance and adherence to company templates, SOPs, DMPK/BA methods, work practices and FDA GLPs, as applicable.
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big data science processing r jobs Company: Pwc in New Brunswick, NJ
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