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Added 7 mins ago
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Talentmatics

Data Engineer

Mississauga, ON, Canada

Job type: Full-time
Apply by: Oct 30, 2026
Experience: 10+ years of experience in Data Engineering, Data Warehousing, or related roles
Posting language: English
Posted: Sep 30, 2026

Apply About employer

Applications open in a new tab.

Original job description

🚨 Hiring: Data Engineer (SSIS) – Capital Markets

📍 Location: Mississauga, ON – Hybrid

🏢 Interview: In-person interview required

We are looking for an experienced Data Engineer to join our Capital Markets Technology team and help build and optimize enterprise-scale data platforms supporting trading, risk management, market data, securities, and regulatory reporting.

🔹 Key Responsibilities

Design, develop, and maintain scalable data pipelines and data engineering solutions

• Build and optimize enterprise data warehouses using Snowflake

• Develop complex SQL queries, stored procedures, views, and transformation logic

• Build and support ETL/ELT frameworks for large-volume financial data

Develop data models for reporting, analytics, and regulatory requirements

Ensure data quality, integrity, governance, and security

Troubleshoot and optimize database/data warehouse performance

Collaborate with Business Analysts, Traders, Risk teams, and other data consumers

Support production deployments and ongoing enhancements

Create technical documentation, data lineage, and operational procedures

🔹 Required Qualifications

Bachelor's degree in Computer Science, Engineering, Information Systems, or related field

• 10+ years of experience in Data Engineering, Data Warehousing, or related roles

• Strong Capital Markets / Financial Services domain experience

• Strong understanding of trading, market data, reference data, securities, equities, fixed income, derivatives, risk, or regulatory reporting

Experience working in Agile environments

🔹 Must-Have Technical Skills

✅ Expert SQL – complex joins, analytical/window functions, stored procedures, performance tuning

✅ Snowflake – development, architecture, data loading, transformation, optimization

✅ Data Warehousing – dimensional modeling, Star/Snowflake schemas, Data Marts, historical data

✅ ETL/ELT – enterprise data integration and high-volume data pipelines

✅ Python / PySpark – data ingestion, transformation, API integration, validation, and Spark optimization

🛂 Work Authorization

• USC (U.S. Citizen) – Workable

• GC (Green Card) – Workable

• H-1B Transfer – Workable

• C2C – Only candidates with their own corporation

📩 Interested candidates can send their resume to:

bella.patel@talent-matics.com

Please share your updated resume along with your location, work authorization, and availability.

Apply About employer

More about this job

Responsibilities

Design, develop, and optimize scalable data pipelines, Snowflake data warehouses, and high-volume ETL/ELT solutions for capital markets data. Ensure data quality, security, and performance while supporting reporting and regulatory needs, production deployments, documentation, and collaboration with business and trading teams.

Requirements

Requires a bachelor's degree in a related field and 10 or more years of data engineering or data warehousing experience, including strong capital markets or financial services domain knowledge. Candidates should have expert SQL, Snowflake, data warehousing, ETL/ELT, and Python or PySpark skills, as well as experience working in Agile environments.

Skills

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

Visa sponsorship

Not detected in the job text

Hiring contact

Bella Patel

Hiring contact email

bella.patel@talent-matics.com

Keywords

Data Engineering
Capital Markets
Financial Services
Snowflake
SQL
SSIS
ETL
ELT
Python
PySpark
Data Warehousing
Data Pipelines
Data Integration
Data Modeling
Dimensional Modeling
Star Schema
Snowflake Schema
Data Marts
Data Loading
Data Transformation
Stored Procedures
Window Functions
Performance Tuning
Data Quality
Data Governance
Data Security
Trading
Market Data
Regulatory Reporting
Agile

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