Start Date
Immediate
Expiry Date
30 Apr, 25
Salary
55.637
Posted On
24 Mar, 25
Experience
5 year(s) or above
Remote Job
Yes
Telecommute
Yes
Sponsor Visa
No
Skills
Metadata, Design, Requirements Gathering, Mathematics, Oracle, Operating Systems, Health Economics, Issue Identification, Business Process, Normalization, Windows, Health Sciences, Epidemiology, Data Mapping, Statistics, Unix, Linux, Information Management
Industry
Information Technology/IT
Employment Type: SGEU Term 9 months or more
Location(s): SK
Salary Range: $45.727 - $55.637 Hourly
Salary Supplement: included in hourly salary range (in-scope)
TECHNICAL
ABOUT THE ROLE – SENIOR DATA ENGINEER:
Reporting to the Manager, Data Management, and working collaboratively with the eHealth teams and our partners in the health system, duties include designing and building the infrastructure required for optimal extracting, transformation, and loading of data from a wide variety of data sources using SQL, SSIS, Informatica, API and other technologies. Architect relational and multi-dimensional databases from structured, semi-structured and unstructured data with development techniques including star and snowflake schemas, ETL, Slow Changing Dimensions (SCD), Fact and Cube development in a data management framework in conjunction with the Provincial Data Platform Infrastructure.
You will have exciting opportunities to impact and improve healthcare through data, as Business Intelligence Services provides the data management support for analytics, reporting and research projects in Saskatchewan. An example of the support this role provides to the Health Research Data Platform – Saskatchewan includes extraction, linkage and curation of datasets for research use within a secure virtual environment. Knowledge and experience with Saskatchewan health data would be considered an asset for the position.
TYPICAL DAILY DUTIES:
The knowledge and skills required for this position would be attained through the completion of a degree in computer science or a related discipline. Related quantitative disciplines include but are not limited to: community health sciences, health economics, biomedical statistics, epidemiology, statistics, or mathematics. An equivalent combination of education and experience may be considered. In addition to educational requirements, the successful candidate will have at least 5 years of experience working as a Data Engineer or similar role within an integrated support environment. Additional skills include: