- 8-10 years of experience in data engineering or a related field.
- Programming Languages: Robust proficiency in Python and SQL. Extensive experience with PySpark for distributed data processing.
- Workflow Orchestration: Proven experience with Airflow for scheduling and managing data pipelines.? Cloud Computing (AWS): Deep understanding of AWS cloud services and best practices for data engineering.
- Infrastructure as Code (CDK): Hands-on experience with AWS CDK for infrastructure provisioning and management.
- Database Systems: Solid understanding of relational and NoSQL databases.
- Testing: Strong understanding and implementation of unit testing strategies.
- Problem-Solving: Excellent analytical and problem-solving skills.
- Communication: Strong communication and collaboration skills.
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📌 AWS Data Engineer (Toronto)
🏢 Quantum World Technologies
📍 Toronto
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