Data Engineer
Regina, SK • Contract • May 31, 2025 • 80594
Job Title: Senior Data Engineer
Job ID: 80594
Location: Regina, Saskatchewan
Overview:
Our government client in Regina, SK is looking for several Senior Data Engineers for a 9+ month contract to start, with possible extensions, reference #C19003374. This position can be remote located anywhere in Canada.
What you will be doing:
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Design and build the infrastructure required for optimal extracting, transformation, and loading of data from a wide variety of data sources using Informatica, SQL, SSIS, API and other technologies.
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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.
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Identify, design and implement internal process improvements: automate manual processes, optimize data delivery, re-design data pipelines for greater scalability.
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Build analytics tools that utilize the data pipeline to provide actionable insights into customer acquisition, operational efficiencies, and other key business performance metrics.
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Develop, maintain, optimize, troubleshoot, debug, monitor, backup and recovery operations for the ETL environment.
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Analyze datasets to ensure compliance with data sharing agreements and legislation restrictions, and for alignment with data architecture guidelines.
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Mentor, support and train Information Analyst and junior Data Management resources, as required.
What you must have:
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Possesses a bachelor’s degree in information technology, Engineering or Computer Science.
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Minimum of five (5) years of proven experience working as a Data Engineer or similar role.
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Experience using Informatica software (i.e., Power Centre, Integration Services, Workflow Manager, IDMC and TDM) in an integrated support environment.
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Oracle and SQL Server Database Management Systems and tools.
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ETL and data pipeline development experience; providing technical consulting and guidance to development teams for the design and development of highly complex or critical ETL architecture.
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Computer programming languages such as PL/SQL, R, Python.
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Operating systems such as Unix, Linux, and Windows.
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Shell Scripting language.
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Data Application Programming Interface (API).
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Algorithms and data structures.
The ideal Resource(s) should have extensive experience with:
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Information management, logic modeling, conceptual, business process, and workflow design.
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Requirements gathering, analysis, plan, design, develop, implement and maintain Data Management systems.
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Critical, constructive and creative problem-solving skills that involve issue identification, development of objectives, development of an action plan overseeing what needs to done, while identifying the resources required to ensure quality products.
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Cloud platform for data management. It would be an asset for the ideal Resource(s) to have:
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Microsoft Certified: Azure Data Engineer Associate would be considered an asset.
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Experience working with healthcare data would be considered an asset
For more information about TEEMA and to consider other career opportunities, please visit our website at www.teemagroup.com