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Data Engineer (Operations)

Contract: Toronto, Ontario, CA

Salary Range: 55.00 - 80.00 | Per Hour

Job Code: 366669

End Date: 2026-03-01

Days Left: 0 days, 0 hours left

 
Title: Data Engineer – Operations
Client: Banking/Financial
Duration: 6 Months possibility of 2+yrs of extension
Location:  Toronto, ON (Hybrid onsite)
PayRate Range: 55/hr - 80/hr

Must haves :

  • 3–5+ years of hands on experience supporting production data pipelines with L1/L2 operational ownership and SLA-driven incident management
  • Strong Python and SQL skills for data validation, troubleshooting, and operational analysis (joins, partitions, group by)
  • Hands-on experience with AWS services, particularly S3, CloudWatch, and EMR
  • Working knowledge of Airflow and enterprise job schedulers (GEM or equivalent) for monitoring and failure recovery
  • Proven ability to perform root cause analysis, read logs, follow, and enhance operational runbooks
  • Capital Markets domain exposure, with experience supporting market data and working directly with traders, quants, and analysts

 

Benefits:
The Company offers a total rewards package for this position that may include employer-sponsored benefits, where applicable and subject to eligibility requirements, such as supplemental health and dental coverage, life insurance, disability insurance, retirement or savings programs, paid time off, and other benefits.

The availability, structure, and scope of benefits may vary based on role, employment status, work location, and applicable federal and provincial laws. The Company provides all statutory entitlements, including public holidays, vacation, leaves of absence, and government-mandated benefits, in accordance with applicable law.

Screening/Selection Disclosure:
We may use AI-enabled and/or automated tools to support parts of our recruitment process, including application screening, interview scheduling, and candidate communications. These tools are used to enhance consistency and efficiency. All hiring decisions involve human review and are not based solely on automated processing.

 

Job Requirement
  • production data pipelines
  • Data Engineer
  • Data Pipeline engineer
  • Data production Engineer
  • Data Validation
  • Opreational analysis
  • Airflow
  • SQL
  • Advance SQL
  • DAG
  • DAG airflow
  • RCA
  • root cause analysis
  • SEM
  • Recovery
  • Python
  • python code
  • python script
Reach Out to a Recruiter
  • Recruiter
  • Email
  • Phone
  • Shwetang Chikankar
  • shwetang.chikankar@collabera.com
  • 9803412359
Apply Now
Apply Now
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