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Manage and optimize data storage solutions on GCP, including Big Query, Cloud Storage, and Cloud SQL, while implementing data security and access controls using GCP's Identity and Access Management (IAM) and Cloud Security Command Center.
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As a Sr. Big Data Engineer, you will work with a variety of talented teammates and be a driving force in technical initiatives that will accelerate analytics at Client. Big Data Engineer.
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Familiarity with big data technologies such as DataBricks, Hadoop, and Kafka. Working closely with our data & analytics team and clinical trial experts, this role will harness the power of cutting-edge AI and LLM (Machine Learning and Deep Learning) technologies for enhancing decision-making in the field of clinical trial process.
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The Clinical Data Science team at Eisai, Inc., is expanding its capabilities by acquiring in-house talent related to bioinformatics, machine learning, and big data analytics for the Oncology and Neurology clinical programs.
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Proficiency with enterprise integration tools, middleware technologies, iPass, application and data integration patterns including ESB, MOM, JMS, SOAP/REST web services, databases, ETL, and EDI.
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Experience or a high level understanding of Big Data technologies on a Hadoop platform (e.g. Informatica, Scoop, Hive, Pig, NoSQL) SKILLS: Senior Data Quality Assurance Engineer, Informatica, Tableau, QlikView, Quality Center, Data Strategies, Data Delivery, Hadoop, Data Quality Testing, ETL Testing, ETL tools, Oracle, SQL Server, SOAP UI, Jenkins, AntHill Pro, Bamboo, Quality Center, Agile Central (Rally), Scoop, Hive, Pig, NoSQL.
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Design components of the data system to ingest, store, process, and access a large volume and wide variety of geoscience data for both predictive modeling and visualization. They work on joint teams with outstanding data scientists, who have PhDs in physics, math, materials science, and geophysics.
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Bachelor's degree in a quantitative discipline (i.e. statistics, applied mathematics, computer science, data mining, machine learning, or some other empirical science) with specialization in data science, engineering or related field preferred.
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Architect and drive the end-end Big Data deployment automation from vision to delivering the automation of Big Data foundational modules (Cloudera CDP), prerequisite components and Applications leveraging Ansible, Puppet, Terraform, Jenkins, Docker, Kubernetes to deliver end-end deployment automation across all ServiceNow environments.
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Processing big data. Cloud-based data technologies such as Snowflake and Databricks. The Data Architect will provide input into the use of technology and definition of architectural approaches applied within Veradigm Life Sciences software solutions to meet the company and customer's long-term requirements.
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Extensive experience with relational databases, data modeling principles, data pipeline tools and workflow engines, e.g. DBT, Apache Airflow, AWS GLUE, Spark. The company is using the power of next-generation sequencing, population-scale clinical studies, and state-of-the-art computer science and data science to enhance the scientific understanding of cancer biology, and to develop its multi-cancer early detection blood test.
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Experience with any of the following is a plus: Quantum, Swift, Aladdin, Clearwater, Chatham Financials, Pinnacle, QRM.Data Analysis - Sources, compiles, and interprets data. Experience working with data management projects having experience in data analysis, data governance, data quality and lineage.
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Strong understanding of healthcare quality measures, including NCQA HEDIS measures, measures derived from EHR and other standardized datasets, administrative data, and public health databases. Manage the process of NCQA certification for HEDIS measures, including data collection, submission, and validation.
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Deep understanding of all aspects of running and working with JVM based applications and hosting Jira/Confluence Data Center on Linux including database scaling, hosting/managing/deploying apps on AWS, load balancers, proxies, and deployment pipelines.
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Our transformative solutions are powered by artificial intelligence, machine learning, facial recognition, cloud solutions and Big Data analytics. Build and configure demo scenarios in Genesys or NICE CXone Cloud Admin and Architect including ACD, IVR, outbound dialers, queuing, skilling, quality, ACD, Email, Web Messaging, and SMS and other digital channels.
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big data jobs Title: developer in Raleigh, NC
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