Expand your horizons as a Big Data Engineer with a leading global enterprise in a hybrid role in Toronto, ON. This permanent position focuses on data pipeline optimization and cloud technologies.

You must have a solid background of 5 years in IT, with 4 years dedicated to Big Data. Familiarity with AWS services and tools like Snowflake is essential, as is expertise in coding with Python or Scala. Contribute to the reliability and integration of high-quality data solutions through effective teamwork and optimization efforts.

Key Responsibilities:
• Design and create scalable data and ETL processes
• Develop and manage data solutions in the cloud
• Support optimization and reliability of data platforms




• Collaborate with teams to provide superior data solutions
• Enhance engineering practices through continuous improvement

Requirements:
• Over 5 years of IT experience and 4+ in Big Data
• Experience with AWS and Snowflake tools
• Proficient in programming languages: Python, Scala, Java, or Shell
• Skilled in ETL pipeline and data warehouse development
• Knowledge of Spark, Hive, SQL, and Agile practices

Utilize your skills to refine data solutions and contribute to cutting-edge engineering projects.
#J-18808-Ljbffr

📌 Big Data Engineer - Hybrid Position (Ontario)
🏢 ISG Search
📍 Ontario