Are you an experienced Data Engineer in search of your next contract opportunity? Our high-profile client is seeking to hire a Lead Data engineer to join their talented team on a 6-month contract with a strong probability of extension. Apply for this amazing opportunity if this sounds like a good fit for you!
Advantages
What’s in it for you!
...
As a consultant with our client, you’ll receive:
- Highly competitive market hourly rates
- A 6 month contract with a strong probability of extension
- Remote interview process
Responsibilities
Design and implement data pipelines, ETL/ELT workflows, and data architectures using Snowflake and Azure services for efficient data processing.
Optimize Snowflake performance through query tuning, data partitioning, and leveraging Azure tools for scalable management.
Ensure data security, compliance, and governance with encryption, access controls, and auditing in Snowflake and Azure.
Collaborate with cross-functional teams to align data solutions with business goals and technical requirements.
Mentor junior engineers, promoting best practices and continuous learning in data engineering.
Qualifications
Intermediate to Senior Data Engineer with 3+ years of experience
Must have Azure and Snowflake hands-on experience, preferably in large-scale enterprise data projects
Hands on and a minimum of 2 projects experience with Azure and Snowflake
Experience being the technical lead of a group of data engineers, mentorship, and driving solutions to meet complex requirements
Good understanding of modern data platforms including data lakes and data warehouse, with good knowledge of the underlying architecture, preferably in Snowflake
Proven experience in assembling large, complex sets of data that meets non-functional and functional business requirements
Experience in identifying, designing, and implementing integration, modelling, and orchestration of complex Finance data and at the same time look for process improvements, optimize data delivery and automate manual processes
Working experience of scripting, data science, and analytics (SQL, Python, PowerShell, JavaScript)
Working experience of performance tuning and optimization, bottleneck problems analysis, and technical troubleshooting in a, sometimes, ambiguous environment
Working experience of working with cloud based systems (Azure experience preferred)
Working knowledge of CI/CD
Technical expertise to build code that is performant as well as secure
Technical depth and vision to perform POC’s and evaluate different technologies
Experience with Real Time Analytics and Real Time Messaging
Working knowledge of building data integrity checks as part of delivery of applications
Experience working with Kafka technologies
Design, implement and monitor 'best practices' for Dev framework
Experience working with large volume data; retail experience strongly desired
In depth knowledge with hands-on experience in building pipelines with Azure Data Factory (ADF)
Hands-on experience in Azure Data Lake Storage (ADLS), Key Vault, Logic Apps, DevOps (CI/CD) are highly preferred
Good understanding of data lake and data warehouse architecture
Proven experience in assembling large, complex sets of data that meets non-functional and functional business requirements
Experience in identifying, designing, and building integration, modelling, and orchestration of complex Finance data and at the same time look for process improvements, optimize data delivery and automate manual processes
Working experience of performance tuning and optimization and technical troubleshooting
Technical expertise to build code that is performant
Working knowledge of building data validation, data cleansing and data integrity checks as part of delivery of ETL pipelines
Design, implement and monitor 'best practices' for Dev framework
Willing to work in a fast paced and result-driven environment
Summary
If you are a Lead Data Engineer and the prospect of joining a dedicated team intrigues you, then this role with our high-profile client could be the perfect opportunity for you.
Apply below or reach out to your Randstad representative for more information.
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
Are you an experienced Data Engineer in search of your next contract opportunity? Our high-profile client is seeking to hire a Lead Data engineer to join their talented team on a 6-month contract with a strong probability of extension. Apply for this amazing opportunity if this sounds like a good fit for you!
Advantages
What’s in it for you!
As a consultant with our client, you’ll receive:
- Highly competitive market hourly rates
- A 6 month contract with a strong probability of extension
- Remote interview process
Responsibilities
Design and implement data pipelines, ETL/ELT workflows, and data architectures using Snowflake and Azure services for efficient data processing.
Optimize Snowflake performance through query tuning, data partitioning, and leveraging Azure tools for scalable management.
Ensure data security, compliance, and governance with encryption, access controls, and auditing in Snowflake and Azure.
Collaborate with cross-functional teams to align data solutions with business goals and technical requirements.
Mentor junior engineers, promoting best practices and continuous learning in data engineering.
Qualifications
...
Intermediate to Senior Data Engineer with 3+ years of experience
Must have Azure and Snowflake hands-on experience, preferably in large-scale enterprise data projects
Hands on and a minimum of 2 projects experience with Azure and Snowflake
Experience being the technical lead of a group of data engineers, mentorship, and driving solutions to meet complex requirements
Good understanding of modern data platforms including data lakes and data warehouse, with good knowledge of the underlying architecture, preferably in Snowflake
Proven experience in assembling large, complex sets of data that meets non-functional and functional business requirements
Experience in identifying, designing, and implementing integration, modelling, and orchestration of complex Finance data and at the same time look for process improvements, optimize data delivery and automate manual processes
Working experience of scripting, data science, and analytics (SQL, Python, PowerShell, JavaScript)
Working experience of performance tuning and optimization, bottleneck problems analysis, and technical troubleshooting in a, sometimes, ambiguous environment
Working experience of working with cloud based systems (Azure experience preferred)
Working knowledge of CI/CD
Technical expertise to build code that is performant as well as secure
Technical depth and vision to perform POC’s and evaluate different technologies
Experience with Real Time Analytics and Real Time Messaging
Working knowledge of building data integrity checks as part of delivery of applications
Experience working with Kafka technologies
Design, implement and monitor 'best practices' for Dev framework
Experience working with large volume data; retail experience strongly desired
In depth knowledge with hands-on experience in building pipelines with Azure Data Factory (ADF)
Hands-on experience in Azure Data Lake Storage (ADLS), Key Vault, Logic Apps, DevOps (CI/CD) are highly preferred
Good understanding of data lake and data warehouse architecture
Proven experience in assembling large, complex sets of data that meets non-functional and functional business requirements
Experience in identifying, designing, and building integration, modelling, and orchestration of complex Finance data and at the same time look for process improvements, optimize data delivery and automate manual processes
Working experience of performance tuning and optimization and technical troubleshooting
Technical expertise to build code that is performant
Working knowledge of building data validation, data cleansing and data integrity checks as part of delivery of ETL pipelines
Design, implement and monitor 'best practices' for Dev framework
Willing to work in a fast paced and result-driven environment
Summary
If you are a Lead Data Engineer and the prospect of joining a dedicated team intrigues you, then this role with our high-profile client could be the perfect opportunity for you.
Apply below or reach out to your Randstad representative for more information.
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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