Role Overview:

We are looking for a hands-on Senior Data Engineer / Data Modeler with solid 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.

- 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

.

📌 Data Modeler/Data Engineer (Toronto)
🏢 Spruce InfoTech
📍 Toronto