Innovative Data Engineer at Nasdaq

Embrace the challenge of innovation as a Senior Data Engineer at Nasdaq in Toronto. In this role, utilize your skills to create high-quality data products for major financial entities. In your position reporting to the Director of Data Science, you will be integral to designing and maintaining scalable data pipelines. You will collaborate with teams across Data Science and Engineering to launch products while ensuring that all data meet high quality and accuracy standards. The role includes contributing to the onboarding of diverse data sources like satellite imagery and consumer transactions. Key Responsibilities:

• Design and manage data pipelines for varied financial datasets
• Collaborate with cross-departmental teams to develop new products
• Ensure data quality through comprehensive monitoring systems
• Contribute to the onboarding of novel data sources
• Drive improvements in existing data products and infrastructure

Requirements:

• Bachelor’s degree in Computer Science or a related field
• 2–4 years of experience in data engineering, using Python and SQL
• Experience with cloud services such as AWS and Databricks
• Proficient in version control systems like Git
• Strong communicator for technical collaboration

Leverage your expertise to advance Nasdaq’s data engineering capabilities and innovate in the financial technology space. #J-18808-Ljbffr