Senior Data Engineer - Remote

We are looking for a Senior Data Engineer for an initial contract until March 31st, 2026 with the potential for extensions!

Advantages
- Work primarily remote
- Long-term contract with potential for extensions
- Competitive market rates

Responsibilities
• 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.
• 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.
• Identify, design and implement internal process improvements: automate manual processes, optimize data delivery, re-design data pipelines for greater scalability.
• Build analytics tools that utilize the data pipeline to provide actionable insights into customer acquisition, operational efficiencies, and other key business performance metrics.
• Develop, maintain, optimize, troubleshoot, debug, monitor, backup and recovery operations for the ETL environment.
• Analyze datasets to ensure compliance with data sharing agreements and legislation restrictions, and for alignment with data architecture guidelines.
• Mentor, support and train Information Analyst and junior Data Management resources, as required.


Qualifications
• Possesses a bachelor’s degree in information technology, Engineering or Computer Science.
• Minimum of five (5) years of proven experience working as a Data Engineer or similar role.
• Experience using Informatica software (i.e., Power Centre, Integration Services, Workflow Manager, IDMC and TDM) in an integrated support environment.
The ideal Resource(s) should have expert knowledge of:
• Oracle and SQL Server Database Management Systems and tools.
• 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.
• Computer programming languages such as PL/SQL, R, Python.
• Operating systems such as Unix, Linux, and Windows.
• Shell Scripting language.



Summary
If you are an experienced Data Engineer looking for your next opportunity, apply today or reach out to your Randstad representative!

Randstad Canada is committed to fostering a workforce reflective of all peoples of Canada. As a result, we are committed to developing and implementing strategies to increase the equity, diversity and inclusion within the workplace by examining our internal policies, practices, and systems throughout the entire lifecycle of our workforce, including its recruitment, retention and advancement for all employees. In addition to our deep commitment to respecting human rights, we are dedicated to positive actions to affect change to ensure everyone has full participation in the workforce free from any barriers, systemic or otherwise, especially equity-seeking groups who are usually underrepresented in Canada's workforce, including those who identify as women or non-binary/gender non-conforming; Indigenous or Aboriginal Peoples; persons with disabilities (visible or invisible) and; members of visible minorities, racialized groups and the LGBTQ2+ community.

Randstad Canada is committed to creating and maintaining an inclusive and accessible workplace for all its candidates and employees by supporting their accessibility and accommodation needs throughout the employment lifecycle. We ask that all job applications please identify any accommodation requirements by sending an email to accessibility@randstad.ca to ensure their ability to fully participate in the interview process.