Elevate data engineering capabilities as a Data Engineer focused on SQL and AWS. This role emphasizes independent work and building scalable solutions in a cloud environment.
We are in search of a seasoned Data Engineer, bringing over seven years of experience in data pipeline development and optimization. Mastery of Snowflake, SQL, and basic AWS knowledge are essential for supporting complex data workflows. You will engage in hands-on data modeling, problem-solving, and collaboration to meet analytical and reporting needs across teams.
Key Responsibilities:
- Optimize and maintain data pipelines on the Snowflake platform
- Write and execute complex SQL queries for data transformation
- Support multi-source data ingestion and processing activities
- Leverage basic AWS services for enhancing data operations
- Automate tasks and scripting using Python
Requirements:
- 7+ years of experience as a Data Engineer
- Strong expertise in Snowflake and data pipeline optimization
- Advanced SQL writing skills for complex queries
- Basic understanding of AWS cloud services
- Python experience for automation and processing tasks
Strengthen our data-driven initiatives with your expertise in Snowflake, SQL, and cloud operations.
Data Engineer with SQL and AWS Skills in Toronto employer: Compunnel Inc.
Join a forward-thinking company in Toronto that prioritizes innovation and employee development. As a Digital Banking Engineering Manager, you'll thrive in a collaborative work culture that values continuous improvement and offers ample opportunities for professional growth. With a focus on modern banking solutions, this role not only allows you to lead a talented team but also empowers you to make a meaningful impact in the digital banking landscape.
