Data Engineer - Python, PySpark, SQL, Snowflake & API Integration
At TMS, LLC · Toronto, ON, Canada
- Data and ML
- Contract
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“Toronto, ON, Canada”
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- Posted
- 26 October 2026
- First seen by us
- 28 October 2026
- Last checked
- 11 hours ago
Job description
From TMS, LLC’s job post, as they wrote it.
Job Description
Data Engineer - Python, PySpark, SQL, Snowflake & API Integration
Job Description:
We are seeking a skilled Data Engineer with strong 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.
Read the full description
* 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.
Data Engineer - Python, PySpark, SQL, Snowflake & API IntegrationTMS, LLC
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