Elevate your career as a Big Data Engineer in a hybrid setting with a prominent global enterprise in Toronto, ON. This full-time role emphasizes cloud solutions and ETL processes.

With a minimum of 5 years in IT and 4 years focusing on Big Data, you'll leverage your AWS and Snowflake skills. Proficiency in programming languages such as Python and Scala is crucial, as is a commitment to optimizing data performance. Collaborate effectively within teams to enhance the reliability and quality of data solutions.

Key Responsibilities: • Build and optimize scalable ETL pipelines and data processes • Develop cloud-based solutions via AWS for Big Data • Ensure platform reliability and peak performance • Collaborate across teams for high-quality data delivery • Drive the continuous improvement of data practices

Requirements: • 5+ years in IT; 4+ years in Big Data • Solid AWS and Snowflake experience • Proficient in Python, Scala, or Java scripting • Experience with ETL and data warehouse solutions • Knowledge of Spark, Hive, SQL, and Agile methods

Capitalize on your expertise to craft efficient data solutions and streamline operations. #J-18808-Ljbffr

📌 Toronto Big Data Engineer Role (Winnipeg)
🏢 ISG Search
📍 Winnipeg