Tata Consultancy Services (TCS) is an equal opportunity employer, and embraces diversity in race, nationality, ethnicity, gender, age, physical ability, neurodiversity, and sexual orientation, to create a workforce that reflects the societies we operate in. Our continued commitment to Culture and Diversity is reflected in our people stories across our workforce and implemented through equitable workplace policies and processes.About TCSTCS is an IT services, consulting, and business solutions organization that has been partnering with many of the world’s largest businesses in their transformation journeys for over 55 years. Its consulting-led, cognitive‑powered portfolio of business, technology, and engineering services and solutions is delivered through its unique Location Independent Agile delivery model, recognized as a benchmark of excellence in software development. A part of the Tata group, India's largest multinational business group, TCS operates in 55 countries and employs over 607,000 highly skilled individuals, including more than 10,000 in Canada. The company generated consolidated revenues of US $ 30 billion in the fiscal year ended March 31, 2025, and is listed on the BSE and the NSE in India. TCS' proactive stance on climate change and award‑winning work with communities across the world have earned it a place in leading sustainability indices such as the MSCI Global Sustainability Index and the FTSE4Good Emerging Index.Role DescriptionPython 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 good 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.Required Skill SetData 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 recordsImplement efficient ETL (Extract, Transform, Load) processes to integrate data from multiple banking systems and external sourcesOptimize data workflows for performance, reliability, and scalability to support real‑time and batch processing requirementsFeature Engineering Model SupportCollaborate with data scientists and analysts to develop sophisticated feature engineering solutions for credit risk models, fraud detection systems, and customer analyticsTransform raw banking data into meaningful features that enhance predictive model performanceCreate and maintain feature stores and reusable feature pipelines to support machine learning initiativesData Quality Cleansing Implement comprehensive data validation frameworks and cleansing routines to ensure data accuracy, consistency, and completenessIdentify and resolve data quality issues including missing values, outliers, duplicates, and inconsistencies in banking datasetsDevelop automated data quality monitoring and alerting systems to proactively detect and address data anomaliesTechnical Development Write clean, efficient, and well‑documented Python code following industry best practices and internal coding standardsDevelop and maintain APIs and microservices to support data access and integration across the organizationImplement unit tests,



integration tests, and participate in code reviews to ensure code quality and reliabilityEducation bachelor’s degree in computer science, Software Engineering, Data Science, or related field (or equivalent practical experience)Positive years of professional experience in Python developmentProven experience working in the banking, financial services, or fintech industry with understanding of banking products, processes, and regulatory requirementsTechnical Skills Expert‑level proficiency in Python and its data ecosystem including pandas, NumPyStrong experience with data processing.Hands‑on experience with feature engineering techniques including encoding, scaling, binning, transformation, and dimensionality reductionDemonstrated expertise in data cleansing methodologies including handling missing data, outlier detection, data normalization, and validationProficiency with SQLSalary RangeCA$ 90,000 - CA$ 120,000 Per YearNoteTCS does not use artificial intelligence tools for candidate screening or evaluation.This posting is for a current vacancyThe hiring process includes an initial screening by the TCS Hiring Team, followed by a technical evaluation and managerial discussion conducted by the Business Team, and concluding with the final HR evaluation.Tata Consultancy Services Canada Inc. is committed to meeting the accessibility needs of all individuals in accordance with the Accessibility for Ontarians with Disabilities Act (AODA) and the Ontario Human Rights Code (OHRC). Should you require accommodation during the recruitment and selection process, please inform Human Resources.Thank you for your interest in TCS. Candidates that meet the qualifications for this position will be contacted within a 2‑week period. We invite you to continue to apply for other opportunities that match your profile.#J-18808-Ljbffr

📌 Python Data Engineer - C$90,000 - C$120,000 A Year (Toronto)
🏢 TATA Consultancy Services
📍 Toronto