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Data Engineer - Python, PySpark, SQL, Snowflake & API Integration (New Role) - Canada- Remote

iFusion Inc.Ontario, CA🇺🇸United States

Quick overview

SeniorityMid Senior
Work modeRemote
LocationOntario, CA, United States
SQLApache SparkAWSETLSnowflakeGoogle CloudPythonRESTAzure

Job description

Data Engineer - Python, PySpark, SQL, Snowflake & API Integration (New Role)

Client- Fitch Ratings

Canada- Remote

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 Google Cloud Platform is preferred.

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