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TMS LLC

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

Posted Yesterday
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In-Office or Remote
Hiring Remotely in Toronto, ON
Mid level
In-Office or Remote
Hiring Remotely in Toronto, ON
Mid level
Build and optimize scalable data pipelines and cloud-based data solutions using Python, PySpark, SQL, and Snowflake. Integrate REST APIs and external data sources, develop ETL/ELT workflows, optimize Snowflake queries, and implement data quality, validation, monitoring, and automation. Collaborate with engineering and analytics teams to deliver reliable data platforms.
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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.
  • 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.

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