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.

📌 Senior Data Engineer With Aws & Sql Toronto
🏢 RBC
📍 Toronto