Healthcare Data Engineer
Doha, Qatar
منذ 1 يوم

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.

Key Accountabilities & Activities :

  • 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 pipelines
  • Evaluate business needs and objectives
  • Interpret trends and patterns
  • Conduct complex data analysis and report on results
  • Prepare data for prescriptive and predictive modeling
  • Build algorithms and prototypes
  • Combine raw information from different sources
  • Explore ways to enhance data quality and reliability
  • Identify opportunities for data acquisition
  • Develop analytical tools and programs
  • Collaborate with data scientists and architects on several projects
  • Key Generic Accountabilities :

  • Develop and / or enhance policies, procedures, systems that support data management and analytics activities at Aspetar
  • Implement 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 expense
  • Share ideas and viewpoints to further streamline processes, thus driving efficiency and improvements across the organization
  • Necessary knowledge and Experience to be able to do the job :

  • 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
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