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

Technology Management Solutions LLC; Toronto; On-site; CAD 48,000 - 55,000; Full time

Job summary

Technology Management Solutions LLC is seeking a Data Engineer to design and maintain scalable data pipelines using Python, PySpark, SQL, Snowflake, and API integrations. You will build ETL/ELT workflows, optimize Snowflake performance, and ensure data quality across cloud-based platforms.

The role requires 3+ years in data engineering with hands-on experience in Python, PySpark, SQL, Snowflake, and REST APIs.

Qualifications

• 3+ years of experience in Data Engineering.
• Hands-on with Python, PySpark, SQL, and Snowflake.
• Experience with REST APIs, JSON, and API-based data integration.

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.

Skills

Python

PySpark

SQL

APIs

Tools

Snowflake

REST APIs

Cloud platforms (AWS/Azure/GCP)

Job description

• Contract
• Compensation: CAD 35 - CAD 40 - hourly

Job Description

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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