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Senior Full Stack Engineer (Data Services) PySpark

Job Highlights
Vaughan
Direct Hire
$135,000

About the Company  

Our client specializes in financial services (asset management, fund administration, etc), and they are looking to hire a Senior Full Stack Engineer- Data Services. 

 

About the Opportunity 

  • The Senior Full Stack Engineer will be part of a cross-functional team, building cloud native applications for the financial services industry 

  • The role will require the SFS Engineer to develop code, create CI/CD pipelines, and configure/deploy applications on the cloud 

  • This role will use Python Spark (PySpark) in a big data environment to bring in external data from various data links (hedge fund data, financials information, etc) and then present the data to the client via a dashboard where clients can get a single point of financial data (status of their portfolio, etc) 

  • The position is highly focused on converting data and data engineering vs application programming, but it is not just a back end solution, there is a front end development to build a UI on top of the data links 

 

About You 

  • 5+ years Software Engineering experience 

  • 2+ years Python (PySpark) 

  • 2+ years with AWS 

  • Experience with relational DB (ideally MySQL) 

  • Experience with NoSql databases (ideally DynamoDB) 

  • Experience working with Agile teams 

  • Exposure to creating and deploying to CI/CD pipelines 

  • Knowledge of financial industry 

  • Experience working with Agile 

 

Salary Range 

$135,000/year 

 

How to Apply 

Click the “Apply Now” button and follow the instructions to submit your resume. Please know that we only accept documents in MS Word or Rich Text formats.  

When referencing this job, quote # 300026 

You must currently reside within the Greater Toronto Area and be permitted to work in Canada to be considered for this opportunity. A recruiter will be in touch with you if your profile meets our client’s requirements for this role. 

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Senior Full Stack Engineer (Data Services) PySpark

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