LP
AWS Data Engineer
LinkedIn Recruiter Post
Hiring an AWS Data Engineer for a contract position in Toronto. Requires 7 - 10 years of experience in data engineering with strong expertise in AWS, Python, SQL, PySpark, and Airflow.
About the role
- Data Engineer developing and maintaining ETL pipelines and data platform solutions for enterprise. Working on data modeling, SQL queries, and cloud services integration.
Responsibilities
- Build and maintain ETL pipelines for enterprise data integration
- Design and optimize data models (Data Vault, Star Schema)
- Develop data platform solutions using Snowflake
- Write and optimize complex SQL queries for performance and reporting
- Develop data solutions using AWS
- Manage CI/CD pipelines, version control, and deployments via Azure DevOps
Requirements
- 5+ years in data engineering/ETL development
- Strong ETL pipeline design and development experience
- Expertise in Data Vault and Star Schema modeling
- Hands-on experience with Snowflake
- Advanced SQL (query writing, tuning, optimization)
- AWS cloud services experience
- Azure DevOps
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