At a Glance
- Tasks: Design and implement scalable data flows using AWS and PySpark.
- Company: Luxoft, a leading tech company in Toronto with a focus on innovation.
- Benefits: Competitive salary, health benefits, and opportunities for professional growth.
- Other info: Collaborative environment with a focus on code quality and testing.
- Why this job: Join a dynamic team and work on impactful data engineering projects.
- Qualifications: Experience with Python, PySpark, and CI/CD tools like Jenkins.
The predicted salary is between 121500 - 148500 $ per year.
Luxoft in Toronto is seeking a senior data engineer to support the Analytical Work Bench integration, including AWS-based data pipelines and Jupyter Lab IDE work. You will design and implement scalable data flows, collaborate with end users to gather requirements, and ensure code quality with standard testing practices.
Join a team that leverages PySpark, PyTest, and Pylint, while integrating with CI/CD tooling such as Jenkins and Urban Code to deliver robust, maintainable solutions.
Senior Python/PySpark Engineer for AWS Data Platform in Toronto employer: Luxoft
At Luxoft, we pride ourselves on fostering a dynamic and inclusive work culture that empowers our employees to thrive. Located in the vibrant city of Toronto, we offer competitive benefits, continuous learning opportunities, and a collaborative environment where innovation is encouraged. Join us to be part of a team that values your contributions and supports your professional growth in the exciting field of software development.
