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Senior Data Engineer
Direct Hire: Toronto, Ontario, CA
Salary Range: 130000.00 - 150000.00 | Per Annum
Job Code: 365418
End Date: 2025-11-09
Days Left: 26 days, 5 hours left
Title: Senior Data Engineer
Duration: Permanent - Full-time
Location: Toronto, ON
Hybrid Work Model
Day-to-Day Responsibilities:
- Design, build, and maintain scalable, efficient data pipelines integrating data from various market sources (Bloomberg, Morningstar, Nasdaq, etc.).
- Manage production systems and automate workflows to reduce resolution times.
- Implement data quality monitoring, governance, and privacy standards in alignment with enterprise policies.
- Collaborate with data scientists, analysts, and product teams to deliver reliable, well-documented datasets.
- Support adoption of DevOps culture, building automation and reliability into data operations.
- Stay up to date on emerging data engineering tools and methodologies.
Must-Haves:
- Bachelor’s degree or college diploma in Computer Science, Engineering, or related field.
- 4+ years of hands-on data engineering experience.
- Strong proficiency with AWS data stack: EMR, Glue, Lake Formation, Airflow, PySpark, Trino, Hudi, Iceberg.
- Proficiency in Python and SQL.
- Experience with Big Data concepts — change data capture, data quality, data lineage.
- Knowledge of data governance and quality frameworks.
- AWS Certified Data & Analytics Specialty (or equivalent).
Nice-to-Haves / Plusses:
- Experience working with carbon emissions or ESG datasets.
- Familiarity with enterprise data architecture and governance frameworks.
- Prior experience in financial services or capital markets (highly preferred).
- Understanding of market data vendors.
- Exposure to Scala or additional data engineering languages.
Thanks,
Job Requirement
- Data
- ETL
- Python
- SQL
- Trading Data
- Bloomberg API
- Murex
- Nasdaq
- AWS
- EMR
- Redshift
- Glue
- Lambda
- Capital Markets
Reach Out to a Recruiter
- Recruiter
- Phone
- Raj Gupta
- raj.pgupta@collabera.com
Apply Now
Apply Now
