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"Total Experience: 6-8 years
Role Description
Role Description
- Python Developer About the Role We are seeking an experienced Python Developer with a strong background in the banking sector to join our team.
- The ideal candidate will bring 5 years of hands-on Python development experience combined with expertise in data processing, feature engineering, and data cleansing.
- This role is critical in building and maintaining robust data pipelines and analytical solutions that support our banking operations and decision-making processes.
- Data Engineering Processing Design, develop, and maintain scalable Python-based data processing pipelines to handle large volumes of banking data including transactions, customer information, and financial records
- Implement efficient ETL (Extract, Transform, Load) processes to integrate data from multiple banking systems and external sources
- Optimize data workflows for performance, reliability, and scalability to support real-time and batch processing requirements
- Feature Engineering Model Support
- Collaborate with data scientists and analysts to develop sophisticated feature engineering solutions for credit risk models, fraud detection systems, and customer analytics
- Transform raw banking data into meaningful features that enhance predictive model performance
- Create and maintain feature stores and reusable feature pipelines to support machine learning initiatives
- Data Quality Cleansing Implement comprehensive data validation frameworks and cleansing routines to ensure data accuracy, consistency, and completeness
- Identify and resolve data quality issues including missing values, outliers, duplicates, and inconsistencies in banking datasets
- Develop automated data quality monitoring and alerting systems to proactively detect and address data anomalies
- Technical Development Write clean, efficient, and well-documented Python code following industry best practices and internal coding standards
- Develop and maintain APIs and microservices to support data access and integration across the organization
- Implement unit tests, integration tests, and participate in code reviews to ensure code quality and reliability
- Education bachelor’s degree in computer science, Software Engineering, Data Science, or related field (or equivalent practical experience)
- Minimum 5 years of professional experience in Python development
- Proven experience working in the banking, financial services, or fintech industry with understanding of banking products, processes, and regulatory requirements
- Technical Skills Expert-level proficiency in Python and its data ecosystem including pandas, NumPy
- Strong experience with data processing.
- Hands-on experience with feature engineering techniques including encoding, scaling, binning, transformation, and dimensionality reduction
- Demonstrated expertise in data cleansing methodologies including handling missing data, outlier detection, data normalization, and validation
- Proficiency with SQL
Key Skills
Ranked by relevance
python
machine learning
microservices
pandas
etl
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- Posted
- Mar 11, 2026
- Type
- Full-time
- Level
- Entry
- Location
- Toronto
- Company
- J&M Group
Industries
IT Services
IT Consulting
Categories
Information Technology
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