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 robust 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.
Solid hands-on coding experience in Python.
Strong hands-on coding experience in PySpark.
Solid SQL Data Modeling / JSON Data Modeling experience.
Strong SQL and ETL/ELT experience.
Strong knowledge of conceptual, logical, and physical data modeling.
Experience with dimensional modeling and data warehouse concepts.
Strong Banking/Financial Services domain experience.
Experience with large-scale data processing and modern 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 – Banking Domain Toronto
🏢 Spruce InfoTech
📍 Toronto