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Data Architect with ETRM (Energy, Trading and Risk Management) Experience/knowledge on Talend , ADF and SOA based data integration. Role - Data Architect with ETRM skills. Understanding of data requirements for ETRM systems and associated data structures (Risk, Pricing, Contracts etc.
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As the Cross Asset Sector Team Leader, you will be responsible for leading a team of Data Engineers and Data Management professionals who are creating and improving ETL processes, coding, and maintaining workflow configurations, designing, and governing metadata/data models in a FAIR (findable, accessible, interoperable & reusable) manner across the Securitized Products Data Teams and in-line with Bloomberg Data as a whole.
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Duties include managing complex projects from start to finish, collaborating with the HR Data Manager to promote data governance and enhance data quality and insights, and providing HR Reporting and Analytics to key stakeholders, including HR Business teams, Talent, Reward, Payroll, and Finance.
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Hands-on experience developing DataOps and ETL solutions using AWS data services (e.g., Redshift, RDS, Athena, Lake Formation), Cloudera Data Platform, and Tableau Labs. Ensure accessibility of data products with appropriate security controls across all computational platforms (e.g., Domino, R-Shiny, Tableau, and SuperPOD), fostering a secure and interconnected ecosystem.
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Proficiency in contract management systems (e.g., Salesforce CPQ, Model N, iCyte), ERP systems (e.g., SAP, Oracle, D365), and Microsoft Excel for data analysis and reporting. Expectations include managing data validation processes with internal team and external vendors, adjudicate rebate and formulary validation processes accurately and before payment deadlines, oversee payments of managed care and government rebates, and manage Market Access payments including purchase requisitions, purchase orders, and ACH funding for copay programs.
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Understanding in single case processing, aggregate data review and evaluation of drug safety issues, adverse event dictionaries, literature publications, core labeling, and Periodic Safety Review preparation is required.
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Required Skills : •3-5+ years in Python •Proficient understanding of distributed computing principles and Resilient Distributed Dataset •3+ years of Agile Scrum and Scrum Kanban experience •Good knowledge of Big Data querying tools, such as Pig, Hive, and Impala •Experience with NoSQL databases, such as MongoDB, HBase, Cassandra •Experience with Big Data frameworks such as Hadoop, Apache Spark, Apache Beam.
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A great opportunity to work on exciting, strategic projects in partnership with key leaders: showcase your technical skills to make a big impact on the profitable growth of CJ Foods. Backed by a global company with over 60 years of experience in the food industry, CJ Foods' mission is to drive awareness of Asian food, especially Korean food, and provide only the best quality products to U.S. households across the nation.
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As the Senior Scientist of Computer Vision in Translational Data Science, you will be at the forefront of applying artificial intelligence (AI) to revolutionize our understanding of disease biology and the mechanisms of our therapeutic interventions.
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If you are a passionate and driven Business Intelligence Developer with a strong background in ETL, SQL, Data Modeling, and Visualization, we encourage you to apply by submitting your resume to bk@ Please add me on LinkedIn.
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The Center for Vision Technologies (CVT) develops and applies its algorithms and hardware to be able to see better with computational sensing, understand the scene using 2D/3D reasoning, understand and interact with humans using interactive intelligent systems, support teamwork through collaborative autonomy, mine big data with multi-modal data analytics and continuously learn through machine learning.
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Our Data team supports the Bloomberg Industry Group (INDG) business, which offers outstanding tools, search, and analytics for products in the areas of Law, Government and Tax. Bloomberg is changing the legal industry by delivering the most sophisticated research platform on the market with a focus on automation, analytics and real-time answers.
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Embed machine learning, artificial intelligence and GenAI capabilities into the cloud applications and solutions to enable predictive analytics, data mining, and pattern recognition for driving productivity and efficiency in solutions delivered.
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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. Sonar Technician, Submarine (STS) STSs specialize in underwater acoustic technologies.
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This position reports to Head of Biostatistics and Data Management (BDM) within Research and Development (R&D) Department at SPARC. Main responsibilities will include effective leadership, planning and oversight within the Clinical Data Management (CDM) function as well as facilitating collaboration across all R&D functions to ensure rigorous collection and analysis of data.
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big data jobs Title: scientist in Cranbury, NJ
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