Lead Data Engineer (Canada)

Lead Data Engineer (Canada)

21 Oct
|
Nasdaq
|
Canada

21 Oct

Nasdaq

Canada

Design, implement, and maintain components of our data platform, with a strong focus on data onboarding and automation. Build and optimize data ingestion pipelines that clean, transform, and load large volumes of structured and unstructured data. Develop automated data processing, transformation, and quality assurance workflows to ensure completeness, accuracy, and reliability. Write and manage distributed data pipelines supporting both real‑time and batch processing across cloud environments. Champion a collaborative code review culture that promotes maintainability, best practices, and continuous improvement. Bachelor's degree in Computer Science, Engineering, or equivalent practical experience. ~10+ years of professional experience in software or data engineering. ~ Proficiency in Python (required), with working knowledge of SQL and Spark/PySpark. ~ Hands‑on experience with cloud platforms and data tools, including distributed data pipeline development and orchestration. ~ Strong written and verbal communication skills in English, with the ability to document clearly and concisely. Experience building and integrating AI tools into data engineering workflows. Data engineering certification (e.g., Databricks Certified Data Engineering Associate or Professional).



Prior experience in fintech, capital markets, or a regulated data environment. This position will be located in Toronto, Canada, and offers the chance for a hybrid work environment at least 3 days a week in‑office, subject to change, providing flexibility and accessibility for qualified candidates. We ensure that individuals with disabilities are provided with reasonable accommodation throughout the hiring process. In addition to base salary, Nasdaq provides a generous annual bonus/commission (short-term incentive), and equity (long‑term incentive), comprehensive benefits, and opportunity for growth. Exact compensation may vary based on several job‑related factors that are unique to each candidate, including but not limited to: skill set, experience, education/training, business needs and market demands. We build the technology that drives transparency, trust, and access—helping economies grow and people thrive. We support your success through You&Q;, our total rewards program that covers every dimension of life—from building wealth and growing your career to prioritizing well‑being and family care. #

📌 Lead Data Engineer (Canada)
🏢 Nasdaq
📍 Canada

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