Data Engineer
4 weeks ago
Job Summary
The Manitoba Government is seeking a Data Engineer to join the Analysis and Development area of the Data Administration and Business Intelligence unit (DABI). As the primary liaison for DABI-related services and functions with the Provincial Information Management and Analytics (PIMA) Branch, the successful candidate will lead Master Data Management in the provincial data repository.
Key Responsibilities
- Design, build, automate, test, tune, and support: Extraction, Transformation, and Loading (ETL) of data from various sources;
- Create and implement the physical database structure;
- Construct and implement operational data stores or marts, based on the logical data model;
- Provide leadership and mentorship to other data engineers;
Requirements
- Post-secondary degree in Information Technology, Computer Science, Computer Engineering or a related field;
- Experience working as a Data Engineer or performing similar duties;
- Proficiency in creating ETL processes to support data extraction, data transformation, data structures, metadata, dependency and workload management;
- Experience using programming and scripting languages (e.g. C#, Python, Java, T-SQL) and Business Intelligence reporting tools;
- Experience building and optimizing data pipelines and data sets;
- Experience performing analyses on internal and external data to identifying opportunities for data quality improvement;
- Experience applying methodologies in areas such as: design and modeling of databases, data systems, systems analysis, and database technology;
- Excellent technical and non-technical verbal communication skills;
- Excellent technical and non-technical written communication skills;
- Excellent interpersonal skills to support and collaborate with cross-functional teams in a dynamic environment with Agile cultures;
- Strong organizational and time management skills including the ability to respond to changing priorities and meet deadlines;
Preferred Qualifications
- Experience working within a health data environment;
- Experience working with all areas of the big data ecosystem;
- Experience working with cloud service providers (e.g. AWS or Microsoft Azure);
- Experience creating ETL processes using SSIS (SQL Server Integration Service).
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