Experience

8+ Years |

Location

Toronto, ON – Hybrid |

Duration

6–12 Months 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 . Solid 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. 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 (Toronto)
🏢 Spruce InfoTech
📍 Toronto