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Data Engineer Python, PySpark, SQL, Snowflake & API Integration

TMS LLC


Job Location:

Toronto - Canada

Monthly Salary: Not provided by the employer
Posted: 28 October 2026 (Yesterday)
Application Deadline: 25 January 2027
Vacancies: 1 Vacancy

Job Summary

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.
  • 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.


Remote Work :

Yes


Employment Type :

Contract