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

Hybrid in Ontario, CA, US • Posted 5 hours ago • Updated 5 hours ago
Contract W2
Contract Independent
12 Months
No Travel Required
Remote
$45 - $50/hr
Fitment

Dice Job Match Score™

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Job Details

Skills

  • Data Engineer
  • Python
  • PySpark
  • SQL

Summary

 

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.
Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.
  • Dice Id: 91098730
  • Position Id: 9125113
  • Posted 5 hours ago
Contact the job poster
RK

Raj Kumar

Recruiter @ iFusion Inc.

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