We are seeking a DataOps/Cloud Data Engineer to design, develop, and optimize cloud-based data pipelines and database solutions using Microsoft Azure technologies. The role involves CI/CD automation, data migration, performance tuning, and data provisioning in Azure, Oracle, and SQL environments.
Advantages
...
•Hands-on Cloud Experience – Work with Microsoft Azure, Data Lake, Synapse, DevOps, and CI/CD pipelines.
•End-to-End Data Management – Involvement in data ingestion, transformation, replication, and migration.
•High-Impact Role – Design and implement critical data solutions for enterprise-level applications.
•Cutting-Edge Technologies – Work with Azure SQL, Oracle, DB2, DataOps automation, and data security.
•Collaboration & Knowledge Sharing – Engage in cross-functional teams, providing data expertise and knowledge transfer.
Responsibilities
•Develop and optimize cloud-based data pipelines using Azure DataOps tools.
•Design, implement, and manage CI/CD pipelines for data/database automation.
•Perform cloud database administration, monitoring, and performance tuning for Azure SQL, Synapse, and Oracle environments.
•Develop complex SQL stored procedures and PL/SQL programs to support data processing.
•Support large-scale data conversion, migration, and replication for OLTP/OLAP environments.
•Ensure secure and efficient data exchange across cloud and on-premise environments.
•Implement DataOps best practices for data provisioning, transformation, and integration.
•Create and maintain detailed documentation for database design, pipelines, and automation scripts.
•Resolve database incidents and optimize system performance through proactive monitoring.
•Collaborate with teams to design and implement data security measures for cloud platforms.
Qualifications
•Expert experience with Microsoft Azure technologies, including Azure pipeline, DACPAC, Data Lake, DevOps, Key Vault, and monitoring tools.
•Proficiency in database management for Azure SQL, Oracle, Synapse, and DB2.
•Extensive experience with SQL Server Stored Procedures and Oracle PL/SQL.
•Hands-on experience in data replication, ingestion, and workflow automation.
•Strong knowledge of CI/CD principles and DataOps best practices.
•Experience in Agile project development and cloud infrastructure automation.
•Familiarity with structured, semi-structured, and unstructured data processing.
•Knowledge of data security, encryption, and access controls in Azure.
•Expert experience with Microsoft Azure technologies, including Azure pipeline, DACPAC, Data Lake, DevOps, Key Vault, and monitoring tools.
•Proficiency in database management for Azure SQL, Oracle, Synapse, and DB2.
•Extensive experience with SQL Server Stored Procedures and Oracle PL/SQL.
•Hands-on experience in data replication, ingestion, and workflow automation.
•Strong knowledge of CI/CD principles and DataOps best practices.
•Experience in Agile project development and cloud infrastructure automation.
•Familiarity with structured, semi-structured, and unstructured data processing.
•Knowledge of data security, encryption, and access controls in Azure.
Summary
This role offers an exciting opportunity for a DataOps/Cloud Data Engineer to lead cloud-based data architecture, CI/CD automation, and database solutions. If you have strong Azure expertise, data management experience, and a passion for optimizing cloud data operations, this is an excellent opportunity to make an impact.
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 DataOps/Cloud Data Engineer to design, develop, and optimize cloud-based data pipelines and database solutions using Microsoft Azure technologies. The role involves CI/CD automation, data migration, performance tuning, and data provisioning in Azure, Oracle, and SQL environments.
Advantages
•Hands-on Cloud Experience – Work with Microsoft Azure, Data Lake, Synapse, DevOps, and CI/CD pipelines.
•End-to-End Data Management – Involvement in data ingestion, transformation, replication, and migration.
•High-Impact Role – Design and implement critical data solutions for enterprise-level applications.
•Cutting-Edge Technologies – Work with Azure SQL, Oracle, DB2, DataOps automation, and data security.
•Collaboration & Knowledge Sharing – Engage in cross-functional teams, providing data expertise and knowledge transfer.
Responsibilities
•Develop and optimize cloud-based data pipelines using Azure DataOps tools.
•Design, implement, and manage CI/CD pipelines for data/database automation.
•Perform cloud database administration, monitoring, and performance tuning for Azure SQL, Synapse, and Oracle environments.
...
•Develop complex SQL stored procedures and PL/SQL programs to support data processing.
•Support large-scale data conversion, migration, and replication for OLTP/OLAP environments.
•Ensure secure and efficient data exchange across cloud and on-premise environments.
•Implement DataOps best practices for data provisioning, transformation, and integration.
•Create and maintain detailed documentation for database design, pipelines, and automation scripts.
•Resolve database incidents and optimize system performance through proactive monitoring.
•Collaborate with teams to design and implement data security measures for cloud platforms.
Qualifications
•Expert experience with Microsoft Azure technologies, including Azure pipeline, DACPAC, Data Lake, DevOps, Key Vault, and monitoring tools.
•Proficiency in database management for Azure SQL, Oracle, Synapse, and DB2.
•Extensive experience with SQL Server Stored Procedures and Oracle PL/SQL.
•Hands-on experience in data replication, ingestion, and workflow automation.
•Strong knowledge of CI/CD principles and DataOps best practices.
•Experience in Agile project development and cloud infrastructure automation.
•Familiarity with structured, semi-structured, and unstructured data processing.
•Knowledge of data security, encryption, and access controls in Azure.
•Expert experience with Microsoft Azure technologies, including Azure pipeline, DACPAC, Data Lake, DevOps, Key Vault, and monitoring tools.
•Proficiency in database management for Azure SQL, Oracle, Synapse, and DB2.
•Extensive experience with SQL Server Stored Procedures and Oracle PL/SQL.
•Hands-on experience in data replication, ingestion, and workflow automation.
•Strong knowledge of CI/CD principles and DataOps best practices.
•Experience in Agile project development and cloud infrastructure automation.
•Familiarity with structured, semi-structured, and unstructured data processing.
•Knowledge of data security, encryption, and access controls in Azure.
Summary
This role offers an exciting opportunity for a DataOps/Cloud Data Engineer to lead cloud-based data architecture, CI/CD automation, and database solutions. If you have strong Azure expertise, data management experience, and a passion for optimizing cloud data operations, this is an excellent opportunity to make an impact.
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
