وظائف شاغرة
#Role Purpose:
#To build and maintain data systems that are easy to analyse and supports Aspetar’s clinical and operational requirements. To implement methods to improve data reliability and quality by combining raw information from different sources to create consistent and machine-readable formats. Also develop and test architectures that enable data extraction and transformation for predictive or prescriptive modelling.
#Develops and maintains scalable data pipelines and builds out new API integrations to support continuing increases in data volume and complexity.Collaborates with analytics and business teams to improve data models that feed business intelligence tools, increasing data accessibility and fostering data-driven decision making across the organization.Implements processes and systems to monitor data quality, ensuring production data is always accurate and available for key stakeholders and business processes that depend on it.Writes unit/integration tests, contributes to engineering wiki, and documents work.Performs data analysis required to troubleshoot data related issues and assist in the resolution of data issues.Works closely with a team of frontend and backend engineers, product managers, and analysts.Defines company data assets (data models), spark, sparkSQL, and hiveSQL jobs to populate data models.Designs data integrations and data quality framework.Designs and evaluates open source and vendor tools for data lineage.#Works closely with all business units and engineering teams to develop strategy for long term data platform architecture.Analyze and organize raw data Build data systems and pipelinesEvaluate business needs and objectivesInterpret trends and patternsConduct complex data analysis and report on results #Prepare data for prescriptive and predictive modelingBuild algorithms and prototypes#Combine raw information from different sourcesExplore ways to enhance data quality and reliabilityIdentify opportunities for data acquisitionDevelop analytical tools and programs#Collaborate with data scientists and architects on several projectsDevelop and/or enhance policies, procedures, systems that support data management and analytics activities at AspetarImplement approved Aspetar and departmental policies processes and procedures to ensure work is completed in a controlled and consistent manner while delivering world class service Ensure cost-efficient usage of all applicable resources to reduce wastage and unnecessary expenseShare ideas and viewpoints to further streamline processes, thus driving efficiency and improvements across the organization Previous experience as a data engineer or in a similar role within the health-medical field.
Data extraction knowledge and experince from Cerner Millennium EMR is a must.
Hands-on experience with SQL and CCL (Cerner Command Language) is a must
Hand-on experince with Microsoft Power Bi is a must
Technical expertise with data models, data mining, and segmentation techniques
Knowledge of programming languages (e.g. Java, R andPython)
Hands-on experience with SQL and CCL database design
Great numerical and analytical skills
Data engineering certification (e.g IBM Certified Data Engineer or Azure Data Engineer) is a plus
Experince in MS tools, as well as Power Query/M & DAX
Knowledge of Oracle database
Knowedge ETL or ELT tools for Azure data warehouse
Education and Certification requirements:
Degree in Computer Science, IT, or similar field; a Master’s is a plus
Job specific technical Skills:
Thorough understanding of Healthcare Informatics, Health Information systems design, build, testing, and troubleshooting.
Knowledge of programming languages (e.g. Java, R and Python)
Data extraction knowledge and experince from Cerner Millennium EMR is a must.
Hands-on experience with SQL and CCL (Cerner Command Language) is a must
Hand-on experince with Microsoft Power Bi is a must
To apply please send your cv to : recruitment@aspetar.com
About this job opportunity
Department
Information Technology
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