Join Nasdaq as a Data Infrastructure Engineer in Toronto, Canada, focusing on designing and maintaining efficient data systems for a major data marketplace. This hybrid role involves critical data engineering tasks in a energetic environment. Reporting to the Senior Director of Data Engineering, you'll lead the charge in building data pipelines that support high volumes of structured and unstructured data.

Candidates should demonstrate proficiency in Python, SQL, and distributed data development. Your work will enhance data reliability and accuracy. Key Responsibilities:

- Design and build scalable data platform components
- Create and optimize data ingestion pipelines
- Develop quality assurance workflows for data
- Write distributed data pipelines for various processing
- Champion a culture of code review and maintainability

Requirements:

- Bachelor's degree in Computer Science or equivalent
- 6+ years of data engineering experience
- Strong grasp of Python, SQL, and Spark/PySpark
- Expertise with cloud platforms and data tools
- Clear written and verbal communication in English

Utilize your engineering expertise to enhance data quality and performance at Nasdaq.

📌 Data Infrastructure Engineer at Nasdaq (Toronto)
🏢 Nasdaq
📍 Toronto