We are looking for DataOps/Cloud Data Engineers with expertise in Microsoft Azure technologies to support multiple projects, including TSOA, MDIS, and FOI & AC. The role involves cloud data management, data pipeline optimization, database administration, and CI/CD automation for seamless data operations.
Advantages
...
•Hands-on experience with Microsoft Azure technologies, including Azure DevOps, Data Lake, Data Lakehouse, Azure Key Vault, and Synapse database.
•Opportunity to design and implement cloud-based data solutions, optimizing data pipelines, migration, and storage.
•Work on large-scale cloud data transformation projects with structured, semi-structured, and unstructured data.
•Utilize advanced database administration techniques for Oracle, SQL Server, and Azure SQL databases.
•Collaborate in an Agile development environment with CI/CD automation, data provisioning, and security implementation.
Responsibilities
•Develop and optimize CI/CD pipelines for data management using Azure pipeline, DACPAC, and automation scripts.
•Provision and manage cloud-based data infrastructure using Azure Storage, Virtual Machines, and Azure Key Vault.
•Implement structured and unstructured data pipelines for data ingestion, processing, and exchange.
•Manage and optimize Azure SQL, Oracle, and Synapse databases for high performance and scalability.
•Develop and fine-tune SQL Server stored procedures and Oracle PL/SQL programs to meet project requirements.
•Perform database performance tuning, partitioning, capacity planning, and patching.
•Support cloud-based heterogeneous data replication solutions, ensuring seamless data exchange.
•Migrate large-scale OLAP and OLTP data to cloud-based SaaS, PaaS, and IaaS environments.
•Design and implement fact/dimension models, data warehouses, and data lakes for analytics.
•Monitor and analyze incidents, providing timely resolution for database and cloud-related issues.
•Perform database backup/recovery and automation scripting to enhance system reliability.
•Document processes and provide knowledge transfer to internal teams for long-term support.
Qualifications
•Expertise in Microsoft Azure technologies, including Azure DevOps, Data Lake, Data Lakehouse, Azure Monitoring, and CI/CD pipelines.
•Experience with SQL Server, Oracle, Synapse, IMS, and DB2 database administration.
•Strong background in database development, performance tuning, and stored procedures (PL/SQL, SQL Server, PL/1).
•Hands-on experience in cloud-based data replication, migration, and provisioning.
•Familiarity with structured and unstructured data management techniques.
•Understanding of Agile methodologies and DataOps best practices.
•Experience in building data security frameworks and compliance measures.
•Strong problem-solving and analytical skills.
•Excellent verbal and written communication for documentation and stakeholder collaboration.
•Ability to work in a fast-paced, Agile environment with competing priorities.
Summary
This DataOps/Cloud Data Engineer role is an excellent opportunity for professionals looking to work on large-scale cloud data transformation projects. The position offers hands-on experience in Azure-based data management, CI/CD automation, database optimization, and data security. Ideal candidates will have expertise in Microsoft Azure, SQL databases, and DataOps principles to drive efficient and secure cloud-based data 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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We are looking for DataOps/Cloud Data Engineers with expertise in Microsoft Azure technologies to support multiple projects, including TSOA, MDIS, and FOI & AC. The role involves cloud data management, data pipeline optimization, database administration, and CI/CD automation for seamless data operations.
Advantages
•Hands-on experience with Microsoft Azure technologies, including Azure DevOps, Data Lake, Data Lakehouse, Azure Key Vault, and Synapse database.
•Opportunity to design and implement cloud-based data solutions, optimizing data pipelines, migration, and storage.
•Work on large-scale cloud data transformation projects with structured, semi-structured, and unstructured data.
•Utilize advanced database administration techniques for Oracle, SQL Server, and Azure SQL databases.
•Collaborate in an Agile development environment with CI/CD automation, data provisioning, and security implementation.
Responsibilities
•Develop and optimize CI/CD pipelines for data management using Azure pipeline, DACPAC, and automation scripts.
•Provision and manage cloud-based data infrastructure using Azure Storage, Virtual Machines, and Azure Key Vault.
...
•Implement structured and unstructured data pipelines for data ingestion, processing, and exchange.
•Manage and optimize Azure SQL, Oracle, and Synapse databases for high performance and scalability.
•Develop and fine-tune SQL Server stored procedures and Oracle PL/SQL programs to meet project requirements.
•Perform database performance tuning, partitioning, capacity planning, and patching.
•Support cloud-based heterogeneous data replication solutions, ensuring seamless data exchange.
•Migrate large-scale OLAP and OLTP data to cloud-based SaaS, PaaS, and IaaS environments.
•Design and implement fact/dimension models, data warehouses, and data lakes for analytics.
•Monitor and analyze incidents, providing timely resolution for database and cloud-related issues.
•Perform database backup/recovery and automation scripting to enhance system reliability.
•Document processes and provide knowledge transfer to internal teams for long-term support.
Qualifications
•Expertise in Microsoft Azure technologies, including Azure DevOps, Data Lake, Data Lakehouse, Azure Monitoring, and CI/CD pipelines.
•Experience with SQL Server, Oracle, Synapse, IMS, and DB2 database administration.
•Strong background in database development, performance tuning, and stored procedures (PL/SQL, SQL Server, PL/1).
•Hands-on experience in cloud-based data replication, migration, and provisioning.
•Familiarity with structured and unstructured data management techniques.
•Understanding of Agile methodologies and DataOps best practices.
•Experience in building data security frameworks and compliance measures.
•Strong problem-solving and analytical skills.
•Excellent verbal and written communication for documentation and stakeholder collaboration.
•Ability to work in a fast-paced, Agile environment with competing priorities.
Summary
This DataOps/Cloud Data Engineer role is an excellent opportunity for professionals looking to work on large-scale cloud data transformation projects. The position offers hands-on experience in Azure-based data management, CI/CD automation, database optimization, and data security. Ideal candidates will have expertise in Microsoft Azure, SQL databases, and DataOps principles to drive efficient and secure cloud-based data 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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