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

Toronto, ON, CA · Remote · Contract

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About the role

SnowflakeSQLPythonSparkREST APIsETLData WarehousingAWSGCPAzure

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.  All your information will be kept confidential according to EEO guidelines.