Job Description
Data Engineer
- Python, PySpark, SQL, Snowflake & API Integration

Job Description
We are seeking a skilled Data Engineer with robust hands-on experience in Python, PySpark, SQL, Snowflake, and API integrations to build scalable data pipelines and cloud-based data solutions.

Key Responsibilities
• Design, develop, and optimize data pipelines using Python, PySpark, SQL, and Snowflake.
• Integrate REST APIs and external data sources into Snowflake-based data platforms.
• Build and maintain ETL/ELT workflows for data ingestion, transformation, and processing.
• Develop efficient SQL queries and optimize Snowflake performance.
• Implement data quality, validation, monitoring, and automation.




• Collaborate with engineering and analytics teams to deliver reliable data solutions. Required

Qualifications:
• 3+ years of experience in Data Engineering.
• Strong hands-on expertise in Python, PySpark, SQL, and Snowflake.
• Experience with REST APIs, JSON, and API-based data integration.
• Knowledge of ETL/ELT processes, data modeling, and data warehousing.
• Experience with cloud platforms such as AWS, Azure, or GCP is preferred. Additional Information All your information will be kept confidential according to EEO guidelines.
• Compensation: CAD 35
- CAD 40
- hourly

📌 Data Engineer (Toronto)
🏢 TMS
📍 Toronto