Data Engineer

Toronto, ON, Canada

Job Description

Candidate Profile Details:

  • Degree/Certifications Required: no
  • Years of experience: 8 plus years overall relevant exp
  • Reason for request/why opened: backfilling
  • % Interaction with Stakeholders: 20%
  • Project Scope: project based work, can change time to time
  • Team Size: 10 people
  • Positive attitude, can take ownership of tasks. Ability to drive initiatives for the team. Guide team when needed, jump on fires when needed.
  • Selling Points of Position: long term role with a top Bank
Best Vs Average Candidate:
  • What we're looking for:
o Azure Data Factory - Data ingestion, transformation & ADLS integration
o Databricks & PySpark - Complex transformations & performance tuning
o Azure DevOps - CI/CD pipeline expertise
o SQL - Advanced querying & optimization
o Problem-Solver - Strong debugging and troubleshooting skills
o Understanding pro's/cons of the solution they are recommending
o How will performance be measured: deliverables
Summary Of Day To Day Responsibilities:
  • Recommending solutions:
o Data Ingestion/transformation/integration. Performing complex data transformation and performance tuning.
  • Debugging/ troubleshooting: What we're looking for: 5 to 8 years in the below technologies:
o Azure Data Factory
o Databricks & PySpark
o Azure DevOps
o SQL
o Problem-Solver
Nice To Have:
  • Stakeholder mgmt.
  • Banking exp - enterprise protect experience
Job Details
13523
Contract
6 months
Toronto
105.00 CAD
Recruiter
Manpreet S.
|

Skills Required

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Job Detail

  • Job Id
    JD3113982
  • Industry
    Not mentioned
  • Total Positions
    1
  • Job Type:
    Full Time
  • Salary:
    Not mentioned
  • Employment Status
    Permanent
  • Job Location
    Toronto, ON, Canada
  • Education
    Not mentioned