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Data Engineer Jobs

Company

Hamilton Health Sciences

Address Hamilton, Ontario, Canada
Employment type FULL_TIME
Salary
Category Hospitals and Health Care
Expires 2023-08-06
Posted at 9 months ago
Job Description
The data engineer leads the design and development of data pipelines - both through streaming and extract, transform and load - to transfer data from source systems (EHRs, administrative databases, registries, etc) into repositories so that the data can be used for analytics (reporting, business intelligence, statistical modeling, machine learning, etc). The scope of this role is end-to-end, such that it includes all activities from requirements gathering and database analysis, to ETL programing, to ongoing QA and maintenance of data pipelines and target databases.


  • Extensive knowledge in the design and development of data pipelines (both streaming and ETL)
  • SQL database (SQL Server, PostgreSQL, etc.)
  • Data modeling tool (Erwin, Data Architect, etc)
  • ETL tool (Data Stage, Microsoft SSIS, etc)
  • Familiarity with cloud architecture (AWS, Azure, GCP, etc.) an asset
  • Working knowledge of at least one industry standard tool for each of the following is required:
  • Devops/sysops experience with Spark and Hadoop on clusters an asset
  • Knowledge of best practices in data warehousing required
  • Experience designing and running testing scenarios required
  • Mastery of SQL programing required
  • Strong interpersonal skills required for requirement gathering


As a condition of employment, you are required to submit proof of full COVID-19 vaccination to Employee Health Services.


Job


Administrative/Service


Primary Location


Ontario-Hamilton


This position will be located at


Offsite Location


Organization


Research


Status


Regular


Hours per week


37.5


Number of Openings


1


Union Code


Non Union Employees


Minimum Salary


47.4600


Maximum Salary


60.8500


Post Date


Jul 6, 2023, 11:00:00 PM


Aug 8, 2023, 10:59:00 PM


Unit Summary


The Digital Health Innovation team's aim is to use machine learning, artificial intelligence and novel digital health applications to improve patient care and enhance medical research. Our team has two major areas of strength: Data Science (applied machine learning/artificial intelligence) and Application Development (the creation of new digital health products in partnership with clinicians and researchers).


Schedule Work Hours


Normal working hours


Guidelines


Hamilton Health Sciences fosters a culture of patient and staff safety, whereby all employees are guided by our Mission, Vision, Values, and Values Based Code of Conduct. Hamilton Health Sciences is a teaching hospital and all staff and physicians are expected to support students and other learners.


To be considered for this opportunity applicants must apply during the posting period. All internal and external applicants may ONLY apply via the Careers website.


Hamilton Health Sciences is an equal opportunity employer and we will accommodate any needs under the Canadian Charter of Rights and Freedom, Accessibility for Ontarians with Disabilities Act and the Ontario Human Rights Code. Hiring processes will be modified to remove barriers to accommodate those with disabilities, if requested. Should any applicant require accommodation through the application processes, please contact HR Operations at 905-521-2100, Ext. 46947for assistance. If the applicant requires a specific accommodation because of a disability during an interview, the applicant will need to advise the hiring manager when scheduling the interview and the appropriate accommodations can be made.


This competition is open to all qualified applicants, however, qualified internal applicants will be considered first. Past performance will be considered as part of the selection process. If you are a previous employee of Hamilton Health Sciences, please note: the circumstances around an employee's exit will be considered prior to an offer of employment


Proficiency in both Official Languages, French and English, is considered an asset


If this position is temporary, selection for this position will be as per the outlined Collective Agreements:


Article 30 (k), CUPE Collective Agreement


Article 10.7 (d), ONA Collective Agreement


Article 13.01 (b) (ii), OPSEU 273 Collective Agreement


Article 14.04, OPSEU 209 Collective Agreement


Article 2.07 and Article 13, PIPSC RT Collective Agreement