Job Description
Join our Toronto team as a Data Engineer, required to be on-site four days a week. This role focuses on creating and maintaining data pipelines essential for our operations.
You will be responsible for driving our data initiatives through scalable pipelines using MongoDB, IBM DB2, and MSSQL. Your role includes writing clean Python code, participating in peer reviews, and contributing to team knowledge enhancement. A solid foundation in Kafka and experience with streaming data platforms are crucial for success in this position.
Key Responsibilities:
• Build and maintain scalable data pipelines
• Query and manage data using MongoDB, IBM DB2, and MSSQL
• Ensure high-quality Python coding practices
• Engage in code reviews and knowledge sharing
• Leverage Kafka for real-time data processing
Requirements:
• Strong Python proficiency with data engineering background
• Hands-on experience with key databases
• In-depth knowledge of Kafka and streaming architect...
You will be responsible for driving our data initiatives through scalable pipelines using MongoDB, IBM DB2, and MSSQL. Your role includes writing clean Python code, participating in peer reviews, and contributing to team knowledge enhancement. A solid foundation in Kafka and experience with streaming data platforms are crucial for success in this position.
Key Responsibilities:
• Build and maintain scalable data pipelines
• Query and manage data using MongoDB, IBM DB2, and MSSQL
• Ensure high-quality Python coding practices
• Engage in code reviews and knowledge sharing
• Leverage Kafka for real-time data processing
Requirements:
• Strong Python proficiency with data engineering background
• Hands-on experience with key databases
• In-depth knowledge of Kafka and streaming architect...