Join Nasdaq as a Data Infrastructure Engineer in Toronto, Canada, focusing on designing and maintaining effective data systems for a major data marketplace. This hybrid role involves critical data engineering tasks in a dynamic 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 componentsCreate and optimize data ingestion pipelinesDevelop quality assurance workflows for dataWrite distributed data pipelines for various processingChampion a culture of code review and maintainabilityRequirements:Bachelor's degree in Computer Science or equivalent6+ years of data engineering experienceStrong grasp of Python, SQL, and Spark/PySparkExpertise with cloud platforms and data toolsClear written and verbal communication in EnglishUtilize your engineering expertise to enhance data quality and performance at Nasdaq.#J-18808-Ljbffr

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