Position Details:
Client: Banking/Financial
Title: Senior Data Engineer (Capital Market and Front Office)
Duration: 6+ months (Contract) Possibility of Extension
Location: Toronto - Hybrid
Pay Rate Range: $50/hr -120/hr open for rate exceptions

Must Haves:

• 8–10+ years of Data Engineering experience (senior-level profiles only)
• Strong hands-on expertise in Python and PySpark
• Deep experience with Apache Spark in distributed environments
• Proven experience working with large-scale, complex data pipelines
• Experience with Databricks (existing environment)
• Strong knowledge of Parquet and Iceberg data formats
• Experience with AWS data ecosystem (EMR preferred)
• Familiarity with Airflow, Glue, and Lake Formation
• Strong understanding of parallel/distributed data processing
• Ability to work independently with strong problem-solving skills
• Experience in ambiguous environments with evolving requirements

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.

Benefits:
The Company offers a total rewards package in accordance with all applicable federal, provincial, and local laws and requirements. Benefit eligibility and offerings vary based on role, employment status, and work location.
For contractor positions, benefits are limited to those entitlements and protections required by applicable law, which may include (as applicable) vacation pay, public holidays, leaves of absence, and other legally mandated benefits or payments