We are seeking a highly skilled Senior Data Analyst to support our client's enterprise-wide digital transformation initiative. This role offers the opportunity to work with a modern Azure-based data platform, designing and implementing innovative data and technology solutions that align with enterprise information strategies and governance stand
...
ards. The successful candidate will have over 7 years of experience in SQL programming, data modeling, and ETL development, with strong expertise in reverse engineering legacy ETL processes and building scalable, future-ready data assets. Hands-on experience with Azure, Databricks, Python, and Apache Spark is essential, along with excellent analytical skills and the ability to communicate effectively with both technical teams and business stakeholders. This is an exciting opportunity for a data professional who is eager to modernize enterprise data environments and deliver impactful analytics solutions.
*** 12 month position ***
*** Fully Remote ***
*** Candidates must be eligible for Government of Canada Security Clearance ***
Advantages
•Work-life balance with the flexibility of a fully remote role.
•Cutting-edge tech exposure to Azure, Databricks, and Spark from anywhere.
Responsibilities
•Collect, document, and analyze business and data requirements to support enterprise information management.
•Design and implement data solutions using enterprise data platform technologies.
•Develop, review, and validate conceptual, logical, and physical data models to ensure alignment with architectural principles and optimal solution design.
•Create, optimize, and maintain data flows, including designing migration methods for existing data assets.
•Reverse engineer legacy ETL processes (such as IBM Data Manager) to modernize them for the enterprise platform.
•Collaborate with information governance analysts and data architects to ensure compliance with governance standards.
•Communicate requirements, issues, and solution options to stakeholders, adapting messages for technical and non-technical audiences.
•Validate and test developed data solutions by comparing them to existing or proxy datasets.
•Understand and document current state applications, data stores, data flows, and data elements.
•Contribute to the design and implementation of future state data architectures and solutions.
•Support the adoption of medallion architecture in Databricks.
•Provide expertise in SQL programming, data modeling, and ETL development to support digital transformation initiatives.
•Work within an Agile delivery framework, participating in sprints, backlog refinement, and team ceremonies.
•Partner with cross-functional teams, including data engineers, architects, governance specialists, and business stakeholders.
•Maintain and update design documentation to reflect changes and ensure alignment with enterprise standards.
•Provide mentorship and knowledge transfer to team members on best practices for data modeling, integration, and solution design.
Qualifications
Top Skills Required:
•Strong analytical skills with the ability to collect, organize, analyze, and disseminate significant amounts of information with attention to detail and accuracy.
•Experience with reverse engineering legacy ETL builds (Data Manager) and source-to-target mappings to design and build future data assets
•Well-rounded hands-on experience in the following data management domains: dimensional and relational data modeling, SQL programming and ETL development.
Other Skills Required:
•Experience implementing medallion architecture in Databricks
•Programming experience in SQL, Python and Apache Spark
•Validation/ testing of developed data solutions by comparing to existing or proxy datasets
•Experience with Microsoft Azure or other public cloud offerings
•Experience in Agile delivery
•Experience in IBM Data Manager
•Ability to understand, interpret, develop and maintain requirements and design documents
•Excellent verbal and written communication, critical thinking, time management, priority planning and interpersonal skills.
Assets:
•Experience with ERWIN or similar data modelling tool
•Experience with Denodo data virtualization
•Experience with Power BI report development
•Experience working in an Agile environment/team
Summary
If you're interested in learning more please submit your résumé and one of our senior Recruiters would be happy to give you a call to discuss further.
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.
show more
We are seeking a highly skilled Senior Data Analyst to support our client's enterprise-wide digital transformation initiative. This role offers the opportunity to work with a modern Azure-based data platform, designing and implementing innovative data and technology solutions that align with enterprise information strategies and governance standards. The successful candidate will have over 7 years of experience in SQL programming, data modeling, and ETL development, with strong expertise in reverse engineering legacy ETL processes and building scalable, future-ready data assets. Hands-on experience with Azure, Databricks, Python, and Apache Spark is essential, along with excellent analytical skills and the ability to communicate effectively with both technical teams and business stakeholders. This is an exciting opportunity for a data professional who is eager to modernize enterprise data environments and deliver impactful analytics solutions.
*** 12 month position ***
*** Fully Remote ***
*** Candidates must be eligible for Government of Canada Security Clearance ***
Advantages
•Work-life balance with the flexibility of a fully remote role.
...
•Cutting-edge tech exposure to Azure, Databricks, and Spark from anywhere.
Responsibilities
•Collect, document, and analyze business and data requirements to support enterprise information management.
•Design and implement data solutions using enterprise data platform technologies.
•Develop, review, and validate conceptual, logical, and physical data models to ensure alignment with architectural principles and optimal solution design.
•Create, optimize, and maintain data flows, including designing migration methods for existing data assets.
•Reverse engineer legacy ETL processes (such as IBM Data Manager) to modernize them for the enterprise platform.
•Collaborate with information governance analysts and data architects to ensure compliance with governance standards.
•Communicate requirements, issues, and solution options to stakeholders, adapting messages for technical and non-technical audiences.
•Validate and test developed data solutions by comparing them to existing or proxy datasets.
•Understand and document current state applications, data stores, data flows, and data elements.
•Contribute to the design and implementation of future state data architectures and solutions.
•Support the adoption of medallion architecture in Databricks.
•Provide expertise in SQL programming, data modeling, and ETL development to support digital transformation initiatives.
•Work within an Agile delivery framework, participating in sprints, backlog refinement, and team ceremonies.
•Partner with cross-functional teams, including data engineers, architects, governance specialists, and business stakeholders.
•Maintain and update design documentation to reflect changes and ensure alignment with enterprise standards.
•Provide mentorship and knowledge transfer to team members on best practices for data modeling, integration, and solution design.
Qualifications
Top Skills Required:
•Strong analytical skills with the ability to collect, organize, analyze, and disseminate significant amounts of information with attention to detail and accuracy.
•Experience with reverse engineering legacy ETL builds (Data Manager) and source-to-target mappings to design and build future data assets
•Well-rounded hands-on experience in the following data management domains: dimensional and relational data modeling, SQL programming and ETL development.
Other Skills Required:
•Experience implementing medallion architecture in Databricks
•Programming experience in SQL, Python and Apache Spark
•Validation/ testing of developed data solutions by comparing to existing or proxy datasets
•Experience with Microsoft Azure or other public cloud offerings
•Experience in Agile delivery
•Experience in IBM Data Manager
•Ability to understand, interpret, develop and maintain requirements and design documents
•Excellent verbal and written communication, critical thinking, time management, priority planning and interpersonal skills.
Assets:
•Experience with ERWIN or similar data modelling tool
•Experience with Denodo data virtualization
•Experience with Power BI report development
•Experience working in an Agile environment/team
Summary
If you're interested in learning more please submit your résumé and one of our senior Recruiters would be happy to give you a call to discuss further.
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.
show more
