Are you passionate about building modern data platforms that power analytics, artificial intelligence, and machine learning initiatives? We are partnering with an innovative organization undergoing a major data transformation and seeking a Senior Data Engineer to join their growing team on a 6-month contract. This is an exciting opportunity to help shape the future of a modern enterprise data ecosystem as the organization transitions from AWS-native services to a Databricks-powered platform.

What You Will Be Doing:

- Design, build, and maintain scalable cloud-based data platforms and pipelines - Develop and optimize ETL/ELT processes using contemporary data engineering practices - Build and support Databricks-based solutions leveraging Spark, SparkSQL, and Delta Lake - Enable machine learning and MLOps workflows through robust data pipelines and feature engineering processes - Collaborate closely with Data Science, Analytics, Architecture, and Platform teams to deliver production-ready solutions - Implement data quality, monitoring, observability,



and governance best practices - Contribute to CI/CD automation and deployment processes for data and analytics workloads - Troubleshoot and resolve complex data and platform-related issues - Mentor junior team members and promote engineering excellence across the organization - Help define data architecture standards, patterns, and best practices as the platform evolves Your Experience:
- 5+ years of experience in Data Engineering, Data Platform Engineering, or a related discipline - Advanced proficiency with Python and SQL - Strong experience building and supporting cloud-based data platforms within AWS environments - Hands-on experience with Databricks, Apache Spark, Delta Lake, and contemporary data processing frameworks - Experience supporting analytics, AI, machine learning, or MLOps initiatives - Strong understanding of data modeling, data architecture, and performance optimization - Experience implementing data quality, monitoring, and observability solutions - Knowledge of CI/CD pipelines, Git, and modern software development practices - Experience working with structured and semi-structured data formats including JSON, XML, and CSV - Strong communication skills with the ability to collaborate across technical and business teams Nice to Have - Experience with AWS SageMaker and machine learning lifecycle management - Database Administration (DBA) experience - Salesforce (SFDC) data integration experience - Experience supporting large-scale cloud migration or modernization initiatives

📌 Senior Data Engineer (Vaughan)
🏢 Nexus Systems Group
📍 Vaughan