Senior Data Engineer - Snowflake, AWS & Spark
Summary
Designs and builds large-scale data pipelines on AWS and Snowflake using Python, PySpark, and Databricks to enable advanced analytics for clients.
An analytics consulting firm in Toronto is seeking a Data Engineer to architect and implement advanced analytics capabilities. The ideal candidate will have over 12 years of experience in data engineering with a strong focus on AWS Cloud and large-scale data processing pipelines. Key skills include Python, SQL, and PySpark, alongside knowledge of Snowflake and Databricks. This role offers significant career development in a dynamic environment that supports individual responsibility.