At a Glance
- Tasks: Integrate large datasets and develop an IDE using Jupyter Lab.
- Company: Global IT services firm working with a leading investment management client.
- Benefits: Competitive hourly rate, hybrid work model, and potential contract renewal.
- Other info: Opportunity for career growth in a collaborative environment.
- Why this job: Join a dynamic team and work on impactful data engineering projects.
- Qualifications: 7+ years in data-oriented roles, expertise in AWS, Python, and PySpark.
The predicted salary is between 75 - 100 $ per hour.
Senior Python Developer with Py Spark and AWS
This is with a global IT services firm for a leading investment/wealth management services firm.
Client Location is downtown Toronto Ontario, close to TTC and GO service.
- Hybrid - In Office 4 days per week - mandatory
- Contract - 6 months, possible renewal
- Target rate range: $75-100hr on B2B
- Project description
The project involves the data engineering organization’s Analytical Work Bench , which is an integrated development environment.
The objective is to rationalize and integrate AWB with another internally developed application.
Additionally, the project includes creating an IDE based on the Jupyter Lab environment using custom code developed by Client.
Responsibilities
- Integrate large datasets into the research ecosystem via the resource platform.
Skills
- A university degree in Engineering or Computer Science is preferred.
- 7+ years experience working related data oriented field
- Proven experience working with cloud-based technologies, specifically AWS.
- Solid expertise in Big Data solutions utilizing AWS EMR.
- Advanced proficiency in Python Core and Py Spark, with over 8 years of hands-on experience.
- Practical knowledge of Pylint and Pytest for code quality and testing, with at least two years of experience.
- Extensive experience with package management and automation tools such as Py PI and Gulp for over five years.
- Familiarity with continuous integration and continuous delivery pipelines using Jenkins and Urban Code, with more than two years of experience.
- Excellent communication skills demonstrated through collaboration with end users to gather and discuss complex business requirements effectively.
- Nice to have
- UI development with React: Familiarity with building user interfaces using React is advantageous.
- Jupiter
Lab: Experience working with Jupiter Lab is a beneficial asset.
- Data Engineering and/or Data Science experience: Having skills or experience in data engineering or data science is a plus.
- NOTE
End Client requires final on-site in-person interview.
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Senior Python Developer in Toronto employer: C.G. Consulting Group
G.G. Consulting Group is an exceptional employer located in the vibrant heart of downtown Toronto, offering a dynamic work culture that fosters collaboration and innovation. As an Expert Data Analyst, you will benefit from flexible working arrangements, opportunities for professional growth, and the chance to work with cutting-edge technologies in a supportive environment. Join us to enhance your career while making a meaningful impact in the global asset management sector.
