Python Developer with Data Engeering Exp.

We are At Synechron, we believe in the power of digital to transform businesses for the better. Our global consulting firm combines creativity and innovative technology to deliver industry-leading digital solutions. Synechron’s progressive technologies and optimization strategies span end-to-end Artificial Intelligence, Consulting, Digital, Cloud & DevOps, Data, and Software Engineering, servicing an array of noteworthy financial services and technology firms. Through research and development initiatives in our FinLabs we develop solutions for modernization, from Artificial Intelligence and Blockchain to Data Science models, Digital Underwriting, mobile-first applications and more. Over the last 20+ years, our company has been honored with multiple employer awards, recognizing our commitment to our talented teams. With top clients to boast about, Synechron has a global workforce of 16,400+, and has 60 offices in 20 countries within key global markets. Our challenge 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. Additional Information* The base salary for this position will vary based on geography and other factors. In accordance with law, the base salary for this role if filled within Toronto, ON is CAD$100k -CAD$110k/year & benefits (see below). The Role Responsibilities: 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 Requirements: Experience & Education • Bachelor's degree in Computer Science, Software Engineering, Data Science, or related field (or equivalent practical experience) • Minimum 6 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 and experience working with relational databases (PostgreSQL, MySQL, Oracle) • Experience with version control systems (Git) and CI/CD pipelines Domain Knowledge • Strong understanding of banking domain concepts including retail banking, corporate banking, payments, lending, or risk management • Knowledge of banking data structures, transaction processing, and regulatory reporting requirements • Awareness of data privacy regulations and compliance standards relevant to banking (e.g., GDPR, PCI-DSS, Basel III) Preferred skills: • Experience with machine learning model deployment and MLOps practices • Familiarity with data visualization tools such as Tableau, Power BI, or Python libraries (matplotlib, seaborn, plotly) • Understanding of software design patterns and architectural principles • Exposure to Agile/Scrum development methodologies We offer: • A multinational organization with 60 offices in 20 countries and the possibility to work abroad. • 15 days (3 weeks) of paid annual leave plus an additional 10 days of personal leave (floating days and sick days). • A comprehensive insurance plan including medical, dental, vision, life insurance, and long-term disability. • Flexible hybrid policy. • RRSP with employer’s contribution up to 4%. • A higher education certification policy. • On-demand Udemy for Business for all Synechron employees with free access to more than 5000 curated courses. • Coaching opportunities with experienced colleagues from our Financial Innovation Labs (FinLabs) and Center of Excellences (CoE) groups. • Cutting edge projects at the world’s leading tier-one banks, financial institutions and insurance firms. • A truly diverse, fun-loving and global work culture. S YNECHRON’S DIVERSITY & INCLUSION STATEMENT Diversity & Inclusion are fundamental to our culture, and Synechron is proud to be an equal opportunity workplace and is an affirmative action employer. Our Diversity, Equity, and Inclusion (DEI) initiative ‘Same Difference’ is committed to fostering an inclusive culture – promoting equality, diversity and an environment that is respectful to all. We strongly believe that a diverse workforce helps build stronger, successful businesses as a global company. We encourage applicants from across diverse backgrounds, race, ethnicities, religion, age, marital status, gender, sexual orientations, or disabilities to apply. We empower our global workforce by offering flexible workplace arrangements, mentoring, internal mobility, learning and development programs, and more. All employment decisions at Synechron are based on business needs, job requirements and individual qualifications, without regard to the applicant’s gender, gender identity, sexual orientation, race, ethnicity, disabled or veteran status, or any other characteristic protected by law.