We are seeking a highly skilled Senior Data Analyst to join a forward-thinking organization driving a digital transformation through advanced data and analytics. This is an exciting opportunity to play a key role in implementing and modernizing an enterprise data platform on Azure, ensuring alignment with strategic information management and gov
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ernance standards. The ideal candidate will have over 7 years of experience in SQL programming and ETL development, including hands-on expertise with IBM Infosphere DataStage for reverse engineering legacy ETL processes and building future-state data solutions. Strong skills in data modeling, Python, Apache Spark, and Databricks are required, along with the ability to collaborate effectively with data architects and governance analysts. Experience with Agile delivery, cloud platforms, and visualization tools like Power BI, as well as bilingual capabilities, are considered strong assets. This role offers the chance to work on complex, enterprise-wide data solutions in a dynamic and innovative environment.
*** 12 month position ***
*** Fully Remote ***
*** Candidates must be eligible for Government of Canada Security Clearance ***
Advantages
•Flexible work schedule with no commuting.
•Hands-on experience with modern data platforms like Azure, Databricks, and DataStage.
Responsibilities
•Collects, documents, and analyzes information management and data requirements
•Designs and implements data solutions using EDC’s data platform technologies
•Creates, reviews and validates conceptual, logical, and physical data models of applications to determine compatibility and fit with architectural principles and optimal solution design.
•Works collaboratively with information governance analysts and data architects to ensure that data models and structures are compliant with governance standards.
•Communicates requirements, issues, and options for resolutions to various stakeholders and tailors messages to the audience.
Qualifications
Specific Project Requirements
•Understand existing applications, data stores and structures, data flows and elements.
•Reverse engineer legacy ETL to modernize it for the enterprise data platform
•Design and implement future state architectures and data solutions
•Over 7 years of demonstrated experience in SQL programming and refactoring
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 (DataStage) 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 Infosphere DataStage
•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.
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We are seeking a highly skilled Senior Data Analyst to join a forward-thinking organization driving a digital transformation through advanced data and analytics. This is an exciting opportunity to play a key role in implementing and modernizing an enterprise data platform on Azure, ensuring alignment with strategic information management and governance standards. The ideal candidate will have over 7 years of experience in SQL programming and ETL development, including hands-on expertise with IBM Infosphere DataStage for reverse engineering legacy ETL processes and building future-state data solutions. Strong skills in data modeling, Python, Apache Spark, and Databricks are required, along with the ability to collaborate effectively with data architects and governance analysts. Experience with Agile delivery, cloud platforms, and visualization tools like Power BI, as well as bilingual capabilities, are considered strong assets. This role offers the chance to work on complex, enterprise-wide data solutions in a dynamic and innovative environment.
*** 12 month position ***
*** Fully Remote ***
*** Candidates must be eligible for Government of Canada Security Clearance ***
...
Advantages
•Flexible work schedule with no commuting.
•Hands-on experience with modern data platforms like Azure, Databricks, and DataStage.
Responsibilities
•Collects, documents, and analyzes information management and data requirements
•Designs and implements data solutions using EDC’s data platform technologies
•Creates, reviews and validates conceptual, logical, and physical data models of applications to determine compatibility and fit with architectural principles and optimal solution design.
•Works collaboratively with information governance analysts and data architects to ensure that data models and structures are compliant with governance standards.
•Communicates requirements, issues, and options for resolutions to various stakeholders and tailors messages to the audience.
Qualifications
Specific Project Requirements
•Understand existing applications, data stores and structures, data flows and elements.
•Reverse engineer legacy ETL to modernize it for the enterprise data platform
•Design and implement future state architectures and data solutions
•Over 7 years of demonstrated experience in SQL programming and refactoring
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 (DataStage) 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 Infosphere DataStage
•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.
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