Data Scientist, Commerce Platform
By Square At Toronto, Ontario, Canada
3+ years of product-focused data science experience or equivalent
Experience performing data analysis and machine learning using Python or R
Experience using statistics to inform decision making
Experience with a BI tool such as Looker or Tableau
Experience with data warehouse design, development and best practices
Develop tools & resources to empower data access and self-service so your expertise can be leveraged where it is most impactful
Data Platform Developer C#
By GEOTAB At Oakville, Ontario, Canada
Knowledge of data management fundamentals and data storage principles.
Create and maintain documentation for architecture, requirements, and process flows.
1-5 years experience in Software Engineering, Data Engineering or a similar role.
1-5 years experience in developing production-level systems using C# with .Net framework or Java with Spring framework.
1-3 years experience with API design and implementation.
1-3 years experience in designing, building and maintaining production-level application containerization, such as Docker, Kubernetes or OpenShift.
Platform Automation Engineer Jobs
By Innovapost At Toronto, Ontario, Canada
Extensive experience working with open-source frameworks and leveraging capabilities scaled by the community at large
Design, implement and manage infrastructure pipelines including but not limited to Kubernetes clusters, container image registries, and secure vaults.
Design, implement and manage build pipelines for different programming languages
Design, implement and manage deploy pipelines to deploy container images to Kubernetes clusters
Monitor and manage platform KPIs
Knowledge of agile methodologies and tools e.g. Jira
Platform Engineer Jobs
By DNAstack At Toronto, Ontario, Canada
Continuous integration and continuous delivery software pipelines
Automation of deployment resources across all major clouds and Kubernetes
Automation of “Day 2” tasks
Updating platform services (SQL databases, kubernetes clusters)
Monitoring cloud costs and identifying potential savings
Identifying and solving privacy and security gaps in our platform infrastructure
Data Platform Engineer Jobs
By Procom At Vancouver, British Columbia, Canada
Bachelor’s or master’s degree in Business Intelligence, Machine Learning, Business Management, Computer or Data Sciences, or Statistics
Have extensive amount of experience in data engineering or data infrastructure roles
Prosses expert Python skills (PySpark, Pandas, Scikit Learn, Numpy, Boto3, Glue + Spark Context)
Experience with data pipeline technologies, data modelling (Star schemas, Snowflake, and aggregation tables)
Experience in Amazon Glue, S3, AppFlow, Athena, EC2/ECS, Code Commit/Code Pipeline
Data Platform Engineer Mandatory Skills:

Are you an experienced Data Platform Engineer looking for a new challenge? We are looking for a motivated individual to join our team and help us build and maintain our data platform. You will be responsible for designing and developing data pipelines, managing data storage, and ensuring data integrity. If you have a passion for data engineering and a desire to work with cutting-edge technologies, then this is the job for you!

A Data Platform Engineer is responsible for designing, developing, and maintaining data platforms. This includes designing and developing data pipelines, data warehouses, and data lakes, as well as developing and maintaining data models and data architectures.

What is Data Platform Engineer Skills Required?

• Strong knowledge of data engineering, data architecture, and data modeling
• Proficiency in SQL and NoSQL databases
• Knowledge of data warehousing and data lake technologies
• Experience with big data technologies such as Hadoop, Spark, and Kafka
• Ability to develop and maintain data pipelines
• Knowledge of cloud computing technologies such as AWS and Azure
• Ability to develop and maintain data models and data architectures
• Knowledge of data security and privacy
• Excellent problem-solving and analytical skills

What is Data Platform Engineer Qualifications?

• Bachelor’s degree in Computer Science, Information Technology, or a related field
• 5+ years of experience in data engineering, data architecture, and data modeling
• Proficiency in SQL and NoSQL databases
• Experience with big data technologies such as Hadoop, Spark, and Kafka
• Knowledge of cloud computing technologies such as AWS and Azure
• Knowledge of data security and privacy

What is Data Platform Engineer Knowledge?

• Knowledge of data engineering, data architecture,