RBC seeks a Lead Data Engineer in Toronto to design and manage scalable data solutions. Utilize your expertise in Python and SQL to boost analytics capabilities.

In this role at RBC, you will be responsible for building and maintaining data ingestion and transformation pipelines using dbt and other relevant tools. With over three years of experience, your technical acumen will be essential in developing optimized SQL transformations and implementing data quality checks. Collaborating with analysts and architects, you will ensure effective data modeling and documentation standards.

Key Responsibilities:
• Design scalable data ingestion and transformation architectures
• Build transformation models using dbt and SQL
• Monitor and troubleshoot existing data pipelines




• Collaborate on data model design with analysts
• Document technical details of data processes and structures

Requirements:
• Minimum 3 years of data engineering experience
• Proficient in Python, SQL, AWS, and dbt
• Familiarity with Airflow for orchestration
• Proven ability to work independently and solve problems
• Detail-oriented mindset with a focus on quality assurance

Elevate your data engineering career at RBC, where your contributions will support strategic analytics.
#J-18808-Ljbffr

📌 Senior Data Engineer with AWS & SQL (Ontario)
🏢 RBC
📍 Ontario