We are seeking a Senior Data Engineers to join our client’s team. We need a highly skilled and adaptable professional to support a diverse range of technology-driven projects across our organization. This is a dynamic role where you’ll apply your expertise in a fast-paced environment, working with various teams and leaders to deliver successful outcomes.
This position is ideal for someone with exceptional communication and problem-solving skills who can quickly pivot between different projects and priorities. You’ll be instrumental in bridging the gap between business needs and technical solutions, ensuring our projects meet strategic goals and provide value to the healthcare sector.

QUALIFICATIONS

Mandatory Resource Qualifications/Requirements

The proposed Resources must have the following qualifications/requirements:

• 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.

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.

SUMMARY

If you’re ready to take your career to the next level, apply directly to this job ad or reach out to your Randstad Digital representative immediately!
P.S. Don’t forget that when you update your profile on Randstad.ca it helps us find you faster when we do have roles that match your skills! So even if this role isn’t for you please update your profile so we can find you!
We look forward to supporting you in your job search!
Good luck!
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

Design and build the infrastructure required for optimal extracting, transformation, and loading
of data from a wide variety of data sources using Informatica, Structured Query Language (SQL),
SQL Server Integration Services (SSIS), Application Programming Interface (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, Extract,
Transform, Load (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 analysts and junior data management resources, as

required.