Role
Play a key role in the design, implementation, and optimization of our data infrastructure. You will be responsible for designing robust and scalable Data Lake architectures to manage and analyze massive volumes of data from various sources. You will collaborate with multidisciplinary teams to ensure data quality, security, and accessibility across the company.
...
Responsibilities
Define and design the architecture of our Data Lake, selecting the appropriate technologies to store, process, and analyze large amounts of data from diverse sources.
Implement solutions to integrate data from internal and external sources (relational databases, ERP systems, CRM, APIs, etc.) into the Data Lake in an efficient and scalable manner. Design and implement automated data pipelines to feed the Data Lake, using modern tools such as Azure Data Factory or other integration solutions.
Experience
• A university degree in computer science, software engineering, information systems, or a related field is required.
• Microsoft BI-specific certifications, such as Microsoft Certified: Azure Data Engineer Associate or Microsoft Certified: Azure Solutions Architect Expert, are highly desirable.
• A university degree in computer science, software engineering, information systems, or a related field is required. • Microsoft BI-specific certifications, such as Microsoft Certified: Azure Data Engineer Associate or Microsoft Certified: Azure Solutions Architect Expert, are highly desirable.
• Excellent interpersonal skills, including teamwork skills.
• Methodical and detail-oriented.
• Priority management and flexibility in work assignments.
• This position is located in a French-speaking environment; however, it requires a very good knowledge of English to regularly read and understand documentation and technical terms that may come from international organizations.
As well as to write and communicate in English with international clients, suppliers, or colleagues.
Advantages
Must be on site 1 day per week, for now the day is Tuesday. Location is St. Eustache
Responsibilities
Responsibilities
Define and design the architecture of our Data Lake, selecting the appropriate technologies to store, process, and analyze large amounts of data from diverse sources.
Implement solutions to integrate data from internal and external sources (relational databases, ERP systems, CRM, APIs, etc.) into the Data Lake in an efficient and scalable manner. Design and implement automated data pipelines to feed the Data Lake, using modern tools such as Azure Data Factory or other integration solutions.
Qualifications
Experience
• A university degree in computer science, software engineering, information systems, or a related field is required.
• Microsoft BI-specific certifications, such as Microsoft Certified: Azure Data Engineer Associate or Microsoft Certified: Azure Solutions Architect Expert, are highly desirable.
• A university degree in computer science, software engineering, information systems, or a related field is required. • Microsoft BI-specific certifications, such as Microsoft Certified: Azure Data Engineer Associate or Microsoft Certified: Azure Solutions Architect Expert, are highly desirable.
• Excellent interpersonal skills, including teamwork skills.
• Methodical and detail-oriented.
• Priority management and flexibility in work assignments.
• This position is located in a French-speaking environment; however, it requires a very good knowledge of English to regularly read and understand documentation and technical terms that may come from international organizations.
As well as to write and communicate in English with international clients, suppliers, or colleagues.
Summary
Responsibilities
Define and design the architecture of our Data Lake, selecting the appropriate technologies to store, process, and analyze large amounts of data from diverse sources.
Implement solutions to integrate data from internal and external sources (relational databases, ERP systems, CRM, APIs, etc.) into the Data Lake in an efficient and scalable manner. Design and implement automated data pipelines to feed the Data Lake, using modern tools such as Azure Data Factory or other integration solutions.
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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Role
Play a key role in the design, implementation, and optimization of our data infrastructure. You will be responsible for designing robust and scalable Data Lake architectures to manage and analyze massive volumes of data from various sources. You will collaborate with multidisciplinary teams to ensure data quality, security, and accessibility across the company.
Responsibilities
Define and design the architecture of our Data Lake, selecting the appropriate technologies to store, process, and analyze large amounts of data from diverse sources.
Implement solutions to integrate data from internal and external sources (relational databases, ERP systems, CRM, APIs, etc.) into the Data Lake in an efficient and scalable manner. Design and implement automated data pipelines to feed the Data Lake, using modern tools such as Azure Data Factory or other integration solutions.
Experience
• A university degree in computer science, software engineering, information systems, or a related field is required.
• Microsoft BI-specific certifications, such as Microsoft Certified: Azure Data Engineer Associate or Microsoft Certified: Azure Solutions Architect Expert, are highly desirable.
...
• A university degree in computer science, software engineering, information systems, or a related field is required. • Microsoft BI-specific certifications, such as Microsoft Certified: Azure Data Engineer Associate or Microsoft Certified: Azure Solutions Architect Expert, are highly desirable.
• Excellent interpersonal skills, including teamwork skills.
• Methodical and detail-oriented.
• Priority management and flexibility in work assignments.
• This position is located in a French-speaking environment; however, it requires a very good knowledge of English to regularly read and understand documentation and technical terms that may come from international organizations.
As well as to write and communicate in English with international clients, suppliers, or colleagues.
Advantages
Must be on site 1 day per week, for now the day is Tuesday. Location is St. Eustache
Responsibilities
Responsibilities
Define and design the architecture of our Data Lake, selecting the appropriate technologies to store, process, and analyze large amounts of data from diverse sources.
Implement solutions to integrate data from internal and external sources (relational databases, ERP systems, CRM, APIs, etc.) into the Data Lake in an efficient and scalable manner. Design and implement automated data pipelines to feed the Data Lake, using modern tools such as Azure Data Factory or other integration solutions.
Qualifications
Experience
• A university degree in computer science, software engineering, information systems, or a related field is required.
• Microsoft BI-specific certifications, such as Microsoft Certified: Azure Data Engineer Associate or Microsoft Certified: Azure Solutions Architect Expert, are highly desirable.
• A university degree in computer science, software engineering, information systems, or a related field is required. • Microsoft BI-specific certifications, such as Microsoft Certified: Azure Data Engineer Associate or Microsoft Certified: Azure Solutions Architect Expert, are highly desirable.
• Excellent interpersonal skills, including teamwork skills.
• Methodical and detail-oriented.
• Priority management and flexibility in work assignments.
• This position is located in a French-speaking environment; however, it requires a very good knowledge of English to regularly read and understand documentation and technical terms that may come from international organizations.
As well as to write and communicate in English with international clients, suppliers, or colleagues.
Summary
Responsibilities
Define and design the architecture of our Data Lake, selecting the appropriate technologies to store, process, and analyze large amounts of data from diverse sources.
Implement solutions to integrate data from internal and external sources (relational databases, ERP systems, CRM, APIs, etc.) into the Data Lake in an efficient and scalable manner. Design and implement automated data pipelines to feed the Data Lake, using modern tools such as Azure Data Factory or other integration solutions.
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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