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Proving specialization background in data science, including experience with statistical analysis, data mining, predictive modeling, and machine learning; Data Processing/Analytics/Science, Computer and Information Science, Statistics.
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Experience: 5 years of technical experience performing ETL development; developing and scheduling batch jobs; developing UNIX Shell Scripts for data validation and reconciliation; designing relational and dimensional databases; performing data integration in AWS using Python and HIVE; developing Python data integration and validation scripts; and performing real-time data integration using messaging queue(MQ.
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Experience implementing and maintaining data platform core services (data lake, data integration, data warehouse) and configuring and integrating infrastructure and PAAS (e.g., Azure Data factory, Informatica cloud services, Databricks, Data gateway and Qlik Sense, Power BI.
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Excellent knowledge on Hadoop Components such as HDFS, Name Node, Data Node, YARN, Resource Manager, Node Manager, and Map Reduce programming paradigm. Experience with Snowflake cloud data warehouse and AWS S3 bucket for integrating data from multiple source source system including hive tables into snowflake table.
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T least 4+ years' experience utilizing Qlik Sense to implement complex analytical solutions which access data from multiple sources. Experience in performance tuning of Qlik Sense dashboards and data loads.
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Developing and maintaining complex ETL mappings, workflows, and UNIX shell scripts in a Data Warehouse environment, based on technical specifications and other supporting documentation, using Informatica PowerCenter, Unix Shell Scripts, advanced SQL, and Autosys/Tidal Enterprise Scheduler, used for data integration.
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Environmental Science Research Institute (ESRI) Certified Introduction and Intermediate training in ArcGIS. CADD Specialist in support of design projects, construction projects and facilities maintenance efforts for military installation, including GIS system conformance to enable sharing of data resources, as well as performing associated surveying work.
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Advanced analytical skills – Experience with data analysis and/or data mining, knowledge of SAS, SQL, MicroStrategy, Big Data or other analytics tools like R, Python, Tableau, Power BI.
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Terminal degree (PhD, EdD, ScD, DPH, MD) in social science, behavioral science, nursing, education, public health or medicine. We strive to be the leader in understanding the complexity of cancer through team science and applying those insights for human benefits.
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Collaborating amongst team members across several geographies, our Cloud practitioners engineer cloud-based analytics solutions on AWS, Azure, Databricks, GCP, Snowflake, Oracle, Informatica Cloud and a combination of native cloud technologies, including computing at edge and curating data-in-motion.
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Must be eligible for DoD Personal Security Clearance BA/BS in Computer Science, Management Information Systems or related field required. Support the adoption of Cloud best practices and supporting technologies to enable such capabilities as DevSecOps, Big Data/Analytics, AI, Micro-Services.
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The Database Security Engineer Lead is responsible for implementing and maintaining security systems that provide detection, prevention, containment and deterrence mechanisms to protect the integrity of relational database systems, AWS cloud native databases, NoSQL and big data platforms, and the data they contain.
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Cloud Cyber Security Analyst (Data Protection/DevOps) Experience with Symantec Data Loss Prevention (version 15.5+) or similar tools is preferred. Coordinates and prepares the reporting of data security events and incidents; provides system and network architecture support for information and network security technologies.
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Master of Science or Ph. D. Degree in Chemistry, Physics or related field with four years of technical experience in NIR, Raman, or IR spectroscopy; or equivalent combination of education and experience.
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Demonstrated expertise with multivariate data classification and regressions tools including PCA, SIMCA, PLS, PCR, MLR, etc. The primary responsibility entails planning and executing laboratory experiments, interpreting the data, and presenting the results to stakeholders either via remote platforms or in-person at customer sites.
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data science jobs Title: data science lead in Tampa, FL
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