Senior Data Engineer / Data Modeler – Banking Domain

Experience: 8+ Years | Location: Toronto, ON – Hybrid | Duration: 6–12 Months

Cloud: Azure

Role Overview: We are looking for a hands-on Senior Data Engineer / Data Modeler with strong expertise in both Data Engineering and Data Modeling . The consultant must have excellent Python and PySpark coding skills , strong SQL/Data Modeling experience , and experience working in the Banking/Financial Services domain.

Key Responsibilities
Design conceptual, logical, and physical data models for banking data.
Develop and optimize scalable data pipelines using Python, PySpark, and SQL .
Perform SQL Data Modeling and JSON Data Modeling for structured and semi-structured data.
Perform data transformation, integration, mapping, and quality validation.
Translate business requirements into data models and engineering solutions.
Write, optimize, and troubleshoot Python and PySpark code for large-scale data processing.




Optimize data processing and troubleshoot pipelines for performance and scalability.

Mandatory Skills
8+ years of experience in Data Engineering and Data Modeling .
Strong hands-on coding experience in Python .
Strong hands-on coding experience in PySpark .
Strong SQL Data Modeling / JSON Data Modeling experience.
Robust SQL and ETL/ELT experience.
Strong knowledge of conceptual, logical, and physical data modeling.
Experience with dimensional modeling and data warehouse concepts.
Robust Banking/Financial Services domain experience.
Experience with large-scale data processing and contemporary data platforms.

Ideal Candidate: We are looking for one consultant who can perform both Data Modeling and Data Engineering , with a strong emphasis on hands-on Python and PySpark development . The candidate should have practical experience with SQL and JSON data modeling . This is not a pure Data Modeler role .

📌 Senior Data Engineer/ Data Modeler Greater Toronto Area
🏢 Spruce InfoTech
📍 Greater Toronto Area