About the Role
Elevate your career as a Big Data Engineer with our Enterprise Data team in Toronto's hybrid environment. Use your expertise in optimizing data systems and architecting data pipelines for business success.
We are seeking a seasoned Big Data Engineer to enhance our Advanced Analytics Platform team. This hybrid role requires 5-8 years of IT experience, with more than 4 years in Big Data technologies such as Spark and Hive. You will be responsible for architecting data pipelines, optimizing processes, and supporting AWS infrastructure.
Key Responsibilities:
• Design and manage robust, large-scale data pipeline architectures
• Automate manual tasks and enhance data delivery performance
• Administer a suite of AWS services, focusing on S3, EC2, and EMR
• Develop ETL operations from diverse data sources using SQL
• Mentor junior staff through technical reviews and collaborations
Requirements:
• University degree in Computer Science or equivalent
• 5-8 years of I...
We are seeking a seasoned Big Data Engineer to enhance our Advanced Analytics Platform team. This hybrid role requires 5-8 years of IT experience, with more than 4 years in Big Data technologies such as Spark and Hive. You will be responsible for architecting data pipelines, optimizing processes, and supporting AWS infrastructure.
Key Responsibilities:
• Design and manage robust, large-scale data pipeline architectures
• Automate manual tasks and enhance data delivery performance
• Administer a suite of AWS services, focusing on S3, EC2, and EMR
• Develop ETL operations from diverse data sources using SQL
• Mentor junior staff through technical reviews and collaborations
Requirements:
• University degree in Computer Science or equivalent
• 5-8 years of I...
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