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Staff Level Data Engineer Jobs

Ec-04 Level - Chief, Data And System
By PURVIEW At Ontario, Canada
Manages the use of applications for data processing and reporting.
Maintains and implements systems including the testing cycles of applications.
Develops the application standards for data quality, security, access and use by the various clients of the Division.
Organizes and controls system support activities, database production and maintenance, data collection and processing.
Prepares and delivers technical training briefings, materials and presentations to system end-users.
Writes data manipulation scripts in commercial applications to facilitate data production and processing.
Senior / Staff Software Engineer - Data Engineering - Hybrid
By The Trade Desk At Toronto, Ontario, Canada

The Trade Desk is a global technology company with a mission to create a better, more open internet for everyone through principled, intelligent advertising. Handling over 1 trillion queries per day, ...

Are you looking for an exciting opportunity to join a fast-paced and innovative team as a Staff Level Data Engineer? We are looking for a highly motivated individual to join our team and help us build the next generation of data-driven products. You will be responsible for designing and developing data pipelines, developing data models, and creating data visualizations. You will also be working with a variety of technologies, such as Python, SQL, and Apache Spark. If you are passionate about data engineering and have a desire to work with cutting-edge technologies, then this is the job for you!

Overview:

A Staff Level Data Engineer is responsible for designing, developing, and maintaining data systems and databases. They are also responsible for creating data models, developing ETL processes, and ensuring data accuracy. They must have a strong understanding of data management principles, data warehousing, and data analysis. They must also be able to work with a variety of programming languages and tools. Additionally, they must be able to work with stakeholders to ensure data requirements are met.