Title:
Senior Data Engineer
Duration:
Full-time, Permanent
Location:
Toronto, ON- Hybrid - 3X/Week in office
Start Date:
ASAP
Compensation and Benefits:
$130K-$140K \& Benefits: Standard health, dental, vacation, and personal day package (aligned with firm policy)
Interview Process:
3 Rounds
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 (Bloomberg, Capital IQ, S\&P, Morningstar).
Exposure to Scala or additional data engineering languages.