détails d'emploi
Are you a highly skilled and motivated Platform Analyst looking to contribute to a significant digital transformation? Join our team at a leading defense organization's Digital Hub, a center of excellence driving data-driven decision-making through timely, accurate, and reliable data provision.
...
As a Platform Analyst, you will play a crucial role in developing and maintaining robust data pipelines, ensuring continuous and uninterrupted data flows to key stakeholders. This involves supporting existing operations and infrastructure on the Amazon Web Services (AWS) Data Platform and future platforms through monitoring, alerting, troubleshooting, and testing.
Advantages
Remote work within Canada
Impactful Work: You will directly contribute to the digital transformation of the Royal Canadian Air Force
Cutting-Edge Technology, AWS environment and tools like: Python/Spark/PySpark , Azure DevOps , and various AI/ML frameworks such as TensorFlow, PyTorch, and scikit-learn.
Strong collaboration and team environment
Responsibilities
- Provide technical guidance and architecture recommendations for scaling AWS-based platforms.
- Design, develop, test, and deploy data lakes and pipelines in AWS or other cloud platforms.
- Build and maintain AWS-based data pipelines using services like AWS Glue, S3, and Athena, alongside tools like Python/Spark/PySpark.
- Manage continuous integration and continuous delivery (CI/CD) processes using Azure DevOps and AWS services.
- Set up monitoring and alerting systems using AWS services including CloudWatch for data pipeline health.
- Establish and enforce data security protocols, identifying and patching system vulnerabilities.
- Implement and maintain data observability mechanisms to monitor key metrics including completeness, consistency, accuracy, and freshness.
- Develop and maintain data governance policies including schemas, data dictionaries, data storage, retention policies, and quality checks.
- Develop and execute Minimum Viable Products (MVPs) for selected AI/ML use cases (predictive analytics, computer vision, anomaly detection, NLP).
- Develop and deploy infrastructure as code (IaC) using CDK, Terraform or MDAA for automating data pipeline transitions.
- Implement systems for detecting anomalies within the cloud infrastructure by analyzing logs and detecting unusual patterns.
- Manage Application Programming Interface (API) gateways, machine-to-machine (M2M) connections, Web Application Firewall (WAF), and Identity and Access Management (AM) roles and Role-Based Access Control (RBAC).
- Deploy and advise on solutions that conduct real-time data streaming, including data ingestion pipelines and computer vision pipelines.
- Monitor, maintain and update User Stories and Tasks through Microsoft Azure DevOps.
Qualifications
- Post-secondary education (Bachelor's or postgraduate degree) in a relevant IT, Computer Science, Computer Engineering, Software Engineering, Data Analytics, Machine Learning, Data Engineering, or related field from a recognized Canadian institution or equivalent.
- Valid Secret level security clearance.
- Advising on data governance, security, and protection policies.
- Leading design, development, and testing of AWS cloud data storage.
- Creating and deploying ETL/ELT jobs using AWS Glue.
- Provisioning and managing AWS resources (Athena, Glue, RDS, Redshift, Cloud Formation, Lambda, EC2).
- Managing CI/CD for data pipelines.
- Setting up, monitoring, troubleshooting, and performing root cause analysis for data pipeline health.
- Implementing anomaly detection systems within cloud infrastructure.
- Managing data infrastructure (API gateways, M2M, WAF, IAM roles, RBAC).
- Implementing cloud security best practices.
- Architecting, developing, and deploying Infrastructure as Code (IaC) data solutions on cloud platforms.
- Designing and managing cloud-based data pipelines and storage.
- Monitoring cloud service instances for performance and cost optimization.
- Developing and deploying AI/ML MVPs (predictive analytics, computer vision, anomaly detection, NLP) with data preparation, model training, evaluation, and deployment expertise.
- Leveraging cloud-native tools and MLOps for scalable, reproducible solutions.
- Deploying solutions using TensorFlow, PyTorch, and scikit-learn in cloud AI/ML platforms.
Summary
If you meet the above-listed criteria, register for a Randstad account online if you have not yet registered, and please apply directly online. We appreciate all applicants and those interested in this opportunity, however, only those with relevant experience will be considered.
We look forward to hearing from you!
Randstad Canada is committed to building a diverse workforce reflective of the diversity of Canada. As a result, we promote employment equity and encourage candidates, especially those who identify as a woman, an Aboriginal person, a person with a disability or a member of a visible minority group, and any others who may contribute to the diversification of our workforce, to apply.
Randstad Canada is also committed to developing inclusive, barrier-free selection processes and work environments.If contacted in relation to a job opportunity, you should advise your Randstad Representative or your local Randstad branch in a timely fashion of the accommodation measures that must be taken to enable you to be assessed in a fair and equitable manner. Information received relating to accommodation measures will be addressed confidentially.
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.
voir plus
Are you a highly skilled and motivated Platform Analyst looking to contribute to a significant digital transformation? Join our team at a leading defense organization's Digital Hub, a center of excellence driving data-driven decision-making through timely, accurate, and reliable data provision.
As a Platform Analyst, you will play a crucial role in developing and maintaining robust data pipelines, ensuring continuous and uninterrupted data flows to key stakeholders. This involves supporting existing operations and infrastructure on the Amazon Web Services (AWS) Data Platform and future platforms through monitoring, alerting, troubleshooting, and testing.
Advantages
Remote work within Canada
Impactful Work: You will directly contribute to the digital transformation of the Royal Canadian Air Force
Cutting-Edge Technology, AWS environment and tools like: Python/Spark/PySpark , Azure DevOps , and various AI/ML frameworks such as TensorFlow, PyTorch, and scikit-learn.
Strong collaboration and team environment
Responsibilities
- Provide technical guidance and architecture recommendations for scaling AWS-based platforms.
...
- Design, develop, test, and deploy data lakes and pipelines in AWS or other cloud platforms.
- Build and maintain AWS-based data pipelines using services like AWS Glue, S3, and Athena, alongside tools like Python/Spark/PySpark.
- Manage continuous integration and continuous delivery (CI/CD) processes using Azure DevOps and AWS services.
- Set up monitoring and alerting systems using AWS services including CloudWatch for data pipeline health.
- Establish and enforce data security protocols, identifying and patching system vulnerabilities.
- Implement and maintain data observability mechanisms to monitor key metrics including completeness, consistency, accuracy, and freshness.
- Develop and maintain data governance policies including schemas, data dictionaries, data storage, retention policies, and quality checks.
- Develop and execute Minimum Viable Products (MVPs) for selected AI/ML use cases (predictive analytics, computer vision, anomaly detection, NLP).
- Develop and deploy infrastructure as code (IaC) using CDK, Terraform or MDAA for automating data pipeline transitions.
- Implement systems for detecting anomalies within the cloud infrastructure by analyzing logs and detecting unusual patterns.
- Manage Application Programming Interface (API) gateways, machine-to-machine (M2M) connections, Web Application Firewall (WAF), and Identity and Access Management (AM) roles and Role-Based Access Control (RBAC).
- Deploy and advise on solutions that conduct real-time data streaming, including data ingestion pipelines and computer vision pipelines.
- Monitor, maintain and update User Stories and Tasks through Microsoft Azure DevOps.
Qualifications
- Post-secondary education (Bachelor's or postgraduate degree) in a relevant IT, Computer Science, Computer Engineering, Software Engineering, Data Analytics, Machine Learning, Data Engineering, or related field from a recognized Canadian institution or equivalent.
- Valid Secret level security clearance.
- Advising on data governance, security, and protection policies.
- Leading design, development, and testing of AWS cloud data storage.
- Creating and deploying ETL/ELT jobs using AWS Glue.
- Provisioning and managing AWS resources (Athena, Glue, RDS, Redshift, Cloud Formation, Lambda, EC2).
- Managing CI/CD for data pipelines.
- Setting up, monitoring, troubleshooting, and performing root cause analysis for data pipeline health.
- Implementing anomaly detection systems within cloud infrastructure.
- Managing data infrastructure (API gateways, M2M, WAF, IAM roles, RBAC).
- Implementing cloud security best practices.
- Architecting, developing, and deploying Infrastructure as Code (IaC) data solutions on cloud platforms.
- Designing and managing cloud-based data pipelines and storage.
- Monitoring cloud service instances for performance and cost optimization.
- Developing and deploying AI/ML MVPs (predictive analytics, computer vision, anomaly detection, NLP) with data preparation, model training, evaluation, and deployment expertise.
- Leveraging cloud-native tools and MLOps for scalable, reproducible solutions.
- Deploying solutions using TensorFlow, PyTorch, and scikit-learn in cloud AI/ML platforms.
Summary
If you meet the above-listed criteria, register for a Randstad account online if you have not yet registered, and please apply directly online. We appreciate all applicants and those interested in this opportunity, however, only those with relevant experience will be considered.
We look forward to hearing from you!
Randstad Canada is committed to building a diverse workforce reflective of the diversity of Canada. As a result, we promote employment equity and encourage candidates, especially those who identify as a woman, an Aboriginal person, a person with a disability or a member of a visible minority group, and any others who may contribute to the diversification of our workforce, to apply.
Randstad Canada is also committed to developing inclusive, barrier-free selection processes and work environments.If contacted in relation to a job opportunity, you should advise your Randstad Representative or your local Randstad branch in a timely fashion of the accommodation measures that must be taken to enable you to be assessed in a fair and equitable manner. Information received relating to accommodation measures will be addressed confidentially.
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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