Contract
Compensation: CAD 35 - CAD 40 - hourly

Job Description

Job Description:

We are seeking a skilled Data Engineer with solid 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 effective 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.
Robust 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.

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📌 Data Engineer Python, Pyspark, Sql, Snowflake & Api Integration Toronto
🏢 Technology Management Solutions
📍 Toronto