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 workplace. 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
Transparent 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