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Select how often (in days) to receive an alert: Join a purpose driven winning team, committed to results, in an inclusive and high-performing culture. Were looking for a Back-End Developer to join our team in Global Wealth Engineering, where we are leading the development of generative AI products for asset managers. You will play a critical role in building enterprise-grade data pipelines that power intelligent applications. This role blends software engineering, data engineering, and elements of data science to bring clean, reliable, and accessible data into our AI workflows. Is this role right for you? In this role you will: - Write and manage your own development tasks in Jira, including well-defined acceptance criteria and technical subtasks - Own your stream of work end-to-end, proactively identifying blockers, gaps, or data issues before they impact downstream systems - Write SQL and Python scripts to extract, transform, and load data from diverse sources into standardized, query-optimized formats - Design and implement RESTful APIs and microservices - Collaborate with front-end developers, cloud developers, product owners, and other stakeholders to deliver high-quality solutions Do you have the skills that will enable you to succeed in this role? Wed love to work with you if you have. - Bachelors Degree, with a Technology, Computer Science, or Software Engineering background - Experience designing and building enterprise-grade data ingestion pipelines, including handling data from various sources such as REST APIs, GraphQL, FTP, and file-based inputs - Strong proficiency in Python for data processing, scripting, and orchestration tasks - Familiarity with workflow orchestration tools like Apache Airflow (or equivalents) for scheduling and managing data pipelines - Solid understanding of data transformation techniques, including cleaning, validation, and standardization across heterogeneous formats - Experience creating and managing datasets and tables optimized for query performance and storage efficiency, ideally in cloud-native warehouses like BigQuery - Proficiency in SQL for querying, analysis, and validation of data pipelines - Hands-on experience with cloud storage and compute platforms, preferably Google Cloud Platform (GCP) - Working knowledge of Infrastructure as Code (IaC) tools such as Terraform for provisioning and maintaining cloud resources - Ability to proactively identify and resolve data quality issues, schema inconsistencies, and pipeline failures through analysis and debugging Nice to Have: - Experience with data science workflows, including data exploration, feature engineering, and model evaluation - Familiarity with machine learning libraries such as scikit-learn, XGBoost, pandas, and NumPy - Familiarity with retrieval techniques, vector stores, or building LLM applications (e.g., using LangChain, FAISS, Pinecone) What's in it for you? - Diversity, Equity, Inclusion & Allyship We strive to create an inclusive culture where every employee is empowered to reach their fullest potential, respected for who they are, and are embraced through biasfree practices and inclusive values across Scotiabank. We embrace diversity and provide opportunities for all employees to learn, grow & participate through our various Employee Resource Groups (ERGs) that span across diverse gender identities, ethnicity, race, age, ability & veterans. - Accessibility and Workplace Accommodations We value the unique skills and experiences each individual brings to the Bank, and are committed to creating and maintaining an inclusive and accessible environment for everyone. - Upskilling through online courses, crossfunctional development opportunities, and tuition assistance. - Competitive Rewards program including bonus, flexible vacation, personal, sick days and benefits will start on day one. - Dynamic Ecosystem Free tea & coffee, universal washrooms, and lots of space for team collaboration. - Community Engagement We offer opportunities for community engagement & belonging with our various programs such as hackathons. Location(s): Canada : Ontario : Toronto #J-18808-Ljbffr