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Epsilon Solutions Ltd.

Senior Data Engineer

Mississauga, ON, Canada

$65 to $70 CAD / hour · Contract

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Job details

Pay: $65 to $70 CAD / hour
Job type: Contract
Apply by: Dec 2, 2026
Experience: 8+ years of experience in Data Engineering, Data Warehousing, or related roles.
Posting language: English
Posted: Nov 2, 2026

Original job description

Senior Data Engineer

Work site: Mississauga- Hybrid

Contract

Role Overview

We are seeking an experienced Senior Data Engineer with strong expertise in SQL, Data Warehousing, and Snowflake to join our Capital Markets technology team. The ideal candidate will play a key role in designing, developing, and optimizing enterprise-scale data platforms and analytical solutions that support trading, risk management, regulatory reporting, market data, and other capital markets functions.

This role requires hands-on experience building high-performance data pipelines, modern cloud-based data warehouses, and scalable ETL/ELT solutions. Candidates with a strong understanding of Capital Markets products and workflows will be highly preferred.

Key Responsibilities

Design, develop, and maintain scalable data engineering solutions and data pipelines.
Build and optimize enterprise Data Warehouse solutions using Snowflake.
Develop efficient and complex SQL queries, stored procedures, views, and data transformation logic.
Create and support ETL/ELT frameworks for ingesting and processing large volumes of financial data.
Collaborate with business analysts, traders, risk teams, and data consumers to understand data requirements.
Design data models that support reporting, analytics, and regulatory compliance needs.
Ensure data quality, integrity, governance, and security across the data ecosystem.
Troubleshoot performance bottlenecks and optimize database and warehouse performance.
Participate in architecture discussions and recommend best practices for data engineering and cloud adoption.
Support production deployments and manage ongoing enhancements to data platforms.
Create technical documentation, data lineage, and operational support procedures.

Required Qualifications

Bachelor's degree in Computer Science, Engineering, Information Systems, or related discipline.
8+ years of experience in Data Engineering, Data Warehousing, or related roles.
Strong Capital Markets domain knowledge.
Deep understanding of market data, reference data, trading systems, risk, securities, fixed income, equities, derivatives, or front-to-back-office processes.
Experience working in Agile delivery environments.

Must-Have Technical Skills

SQL

Expert-level SQL development experience.
Complex joins, analytical functions, window functions, stored procedures, and query performance tuning.
Data reconciliation and optimization of high-volume datasets.

Data Warehouse

Strong experience designing and implementing Data Warehouse solutions.
Dimensional modeling.
Star schema and Snowflake schema design.
Data Mart architecture.
Data integration and historical data management.

Snowflake

Hands-on Snowflake development and administration experience.
Snowflake architecture and performance optimization.
Data loading and transformation using Snowflake.
Snowpipe, Streams, Tasks, Time Travel, and Cloning concepts.
Security, role-based access, and data governance within Snowflake.

Python / PySpark

Experience developing data ingestion and transformation pipelines.
Data processing using PySpark.
API integration and automation.
Data validation and quality frameworks.
Performance tuning of Spark workloads.

Good-to-Have Skills

SSIS

Experience developing and supporting SSIS packages.
Legacy ETL migration to modern cloud platforms.

Scheduling and monitoring ETL workflows.

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More about this job

Responsibilities

Design, build, and optimize scalable data pipelines, Snowflake data warehouses, and ETL/ELT solutions for capital markets functions. Collaborate with business and technical teams to support analytics, reporting, regulatory compliance, data quality, security, and production operations.

Requirements

Requires a bachelor's degree in a related discipline and 8+ years of data engineering or data warehousing experience, with strong capital markets knowledge. Candidates need expert SQL, data warehouse and Snowflake expertise, plus experience with Python/PySpark pipelines; SSIS experience is an asset.

Skills

SQL
Data Warehousing
Snowflake
Data Engineering
ETL/ELT
Python
PySpark
Dimensional Modeling
Data Modeling
Data Pipeline Development
Data Quality
Performance Tuning
Capital Markets
SSIS
Agile

Visa sponsorship

Not detected in the job text

Keywords

SQL
Snowflake
Data Warehousing
Data Engineering
ETL/ELT
Python
PySpark
SSIS
Capital Markets
Market Data
Reference Data
Trading Systems
Risk Management
Regulatory Reporting
Securities
Fixed Income
Equities
Derivatives
Dimensional Modeling
Star Schema
Snowflake Schema
Data Marts
Snowpipe
Streams
Tasks
Time Travel
Data Cloning
Data Governance
Data Reconciliation
Agile

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