Data Engineer with Python Toronto

Enhance your career as a Data Engineer specializing in Python and ETL at a leading firm in Toronto. This hybrid role involves designing scalable data solutions and participating in Agile practices.
We are seeking a Data Engineer with 6-8 years of experience in building robust ETL pipelines and data models. The ideal candidate will have strong SQL skills and experience with cloud technologies such as Azure or GCP. You will be working collaboratively to develop large-scale data applications using modern big data tools and methodologies.
Key Responsibilities:
• Design and build scalable ETL pipelines and data models
• Develop and maintain large-scale data applications and integrations
• Write and optimize SQL queries and scripts
• Work with Databricks, Snowflake, and big data tools
• Integrate APIs and support CI/CD pipelines with Git and Jenkins
Requirements:
• 6-8 years of Data Engineering experience
• Proficiency in Python (PySpark, Pandas) or Java
• Strong SQL skills for data manipulation
• ETL, data modeling, and pipeline development experience
• Familiarity with Azure or GCP cloud environments
Elevate your expertise in data engineering with extensive experience in ETL, Python, and cloud technologies!
#J-18808-Ljbffr