Data Engineer - Python, PySpark, SQL, Snowflake & API Integration
Technology Management Solutions LLC Data Engineer - Python, PySpark, SQL, Snowflake & API Integration
Summary
Contract data engineer role in Toronto building and optimizing scalable data pipelines and cloud data solutions with Python, PySpark, SQL, and Snowflake, including REST API integrations and ETL/ELT workflows, data quality checks, and Snowflake performance tuning.
- 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
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