Job Description :Our client is looking for Senior /Manager Data Engineer (PySpark / Databricks / AWS) in Toronto, ON!

Must Have Primary Skills :

• Strong programming experience with Python and PySpark
• Hands-on experience with Apache Spark in cloud-based environments 
• Experience developing and supporting large-scale distributed data processing systems 
• Strong knowledge of Databricks 
• Experience working with Parquet and Iceberg data formats 
• Experience with AWS data services including:

1. AWS Glue
2. AWS Lake Formation

• Experience with workflow orchestration tools such as Apache Airflow 
• Proven ability to independently deliver complex projects with minimal supervision 
• Strong analytical, troubleshooting, and problem-solving skills 
• Excellent communication and stakeholder management abilities 
• Previous consulting, advisory, or client-facing delivery experience

Nice To Have Secondary Skills :
Preferred Qualifications

• Experience designing and implementing distributed data processing architectures 
• Capital Markets or Financial Services industry experience 
• Exposure to modern data lakehouse platforms and cloud-native data engineering practices 
• Experience working within agile delivery environments

Proven Experience In :
Overview

We are seeking an experienced Data Engineer to join a high-performing team supporting large-scale cloud data initiatives within a dynamic and fast-paced environment. The ideal candidate will have strong expertise in Python, PySpark, Apache Spark, Databricks, and AWS data services, along with the ability to work independently and collaborate effectively with both technical and business stakeholders.

Experience within capital markets environments is highly preferred.

IND1: [email protected]