Join a large global enterprise client as a Big Data Engineer in a hybrid role based in Toronto, ON. Focus on building scalable data pipelines and cloud-based solutions using AWS.
The full-time position requires at least 5 years in IT, including 4 years with Big Data technologies. Solid expertise in AWS and Snowflake is necessary, along with proficiency in programming languages like Python, Scala, or Java. Collaborate with diverse teams to ensure high-quality data solutions and optimize performance for seamless integration.
Key Responsibilities:
• Design and build scalable data pipelines and ETL processes
• Maintain cloud-based solutions using AWS and Big Data tech
• Support integration and optimize platform performance
• Collaborate with teams for delivering data solutions
• Improve data engineering practices continuously
Requirements:
• 5+ years in IT and 4+ with Big Data technologies
• Proficient with AWS services and Snowflake
• Experience in Python, Scala, Java, or Shell scripting
• Skilled in building ETL pipelines and data warehouses
• Knowledge of Spark, Hive, SQL, and Agile practices
Embrace the opportunity to enhance data solutions with innovative engineering skills.
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📌 Hybrid Big Data Engineer in Toronto
🏢 ISG Search
📍 Toronto
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