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Forms part of the Analytics Open Hub Global Data and Analytics team to deliver the strategy, execute plans, providing specific and deep expertise in data design and modelling, data warehousing, big data platforms and data engineering.
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Experience as a Data Engineer, Database Developer, Data Modeler, Data Architect, or ETL Developer. Experience with Azure Data Factory, Azure Databricks, and Snowflake is highly preferred, but similar cloud technology experience will be considered.
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Database Management System: Storing, organizing, managing, and delivering data using relational DBs, NoSQL DBs, Graph DBs, and data warehouse technologies including AWS Redshift and Snowflake.
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Knowledge of data handling and management languages (e.g., Python, R, SQL) Experience with Power BI and/or other data visualization software. Work with employees throughout the company to assist them in the design, creation, publishing, update and maintenance of business intelligence reports (e.g. in Power BI or Tableau) or other data analysis tools.
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Development : Develop custom applications, scripts, and integrations using Oracle EPM tools such as Hyperion Planning, Essbase, Financial Management (HFM), Data Relationship Management (DRM), and Financial Data Quality Management Enterprise Edition (FDMEE.
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Experience with more than one data cataloguing, data governance, data quality, data privacy and master data management (Informatica, Ataccama, Collibra, Alation, Global Ids, Big Id, etc.
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At least 2 years of experience in big data technologies. 4+ years experience with Distributed data/computing tools (MapReduce, Hadoop, Hive, EMR, Kafka, Spark, Gurobi, or MySQL.
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Strong working knowledge of data mining algorithms including AI and ML techniques such as regression, decision trees, probability networks, association rules, clustering, deep learning, neural networks, Bayesian models, etc.
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You may possess a vast background (additional certificates help support your deep security knowledge (CISSP, GSEC, CISA, CISM, CRISC, MCSD), comprising of functional experience working in a global hybrid cloud environment, including AWS, Azure, O365, and GCP. Experience with Data Governance or Data Compliance Standards is valuable.
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5+ years of experience in test automation and testing integration functions same or like RCSA related business controls Proven hands-on experience in Java, JEE, Streaming, API, Microservices, Containerization and UX/UI tools such as Angular JS/React, etcIn-depth knowledge on data engineering, DB models and architecture in RDBMS, Big Data and other cloud databases such as snowflake, Databricks, etc.
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Acquires and maintains a level of medical-scientific knowledge in endocrinology and/or rare disease involving clinical issues related to company's products; able to interpret and disseminate pertinent scientific/clinical data and evaluates current and new information as it applies to company's therapies.
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Experience may be gained concurrently and must include one (1) year in each of the following:-Building statistical models and machine learning models using large datasets from multiple resources-Working with Customer, Content, or Product data modeling and extraction-Using database technologies such as SQL or ETL-Applying specialized modelling software including Python, R, SAS, MATLAB, or Stata.
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Identify and interface with regional and national HEOR & RWE experts and organizations, profile data sources and organizations who conduct real world outcomes research as they relate to Eisai's products and therapeutic areas.
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Although they are not quite there yet, this firm has developed a structure that enables it to base the bulk of its personnel and resources in New Jersey, and have a small New York space from which to handle the 'big city' work.
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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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big data jobs Title: hadoop in Essex Fells, NJ
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