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Nasdaq

Global electronic securities exchange & fintech

Data Engineering Specialist

Data EngineeringPosted on Nov 10
Full-timeToronto, ON, CanadaIn-person

About the Job

Requirements

  • A bachelor's degree in Computer Science, Engineering, or equivalent practical experience.
  • Five to seven years of professional experience in software or data engineering.
  • Proficiency in Python and 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.

Responsibilities

  • Design, implement, and maintain components of the data platform, focusing 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 real-time and batch processing across cloud environments.
  • Champion a collaborative code review culture that promotes maintainability, best practices, and continuous improvement.

Desired Qualifications

  • Experience building and integrating AI tools into data engineering workflows.
  • A data engineering certification, such as Databricks Certified Data Engineering Associate or Professional.
  • Prior experience in fintech, capital markets, or a regulated data environment.

About the Company

Nasdaq

Global electronic securities exchange & fintech

Nasdaq runs a large electronic stock exchange and provides financial technology services. Its products include an electronic trading platform for buying and selling securities and subscription tools like Nasdaq Smart Portfolio that analyzes portfolios, as well as non-financial marketplaces and sustainable investing support. It differentiates itself with a massive, scalable exchange combined with deep data analytics, a broad mix of subscription services, and activity across traditional finance and non-financial digital marketplaces. Its goal is to give efficient, transparent access to capital and investment opportunities worldwide, growing revenue from trading, listings, and data-driven services while promoting sustainable investing.

Company size
5,001-10,000
Company stage
IPO
Headquarters
New York City, New York
Founded
1971

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