Transform data engineering practices as a Senior Data Engineer on a six-month contract. Focus on building cloud-based data platforms with Databricks, AWS, and contributing to AI and machine learning initiatives.

In this role, you will be instrumental in transitioning to a Databricks-powered data ecosystem. Your work will involve designing scalable data pipelines and optimizing data processes. Collaborate with various teams to implement best practices in data quality, observability, and governance.

Key Responsibilities:
Build and maintain cloud data platforms and pipelines
Optimize ETL/ELT processes with contemporary engineering methods
Develop Databricks-based solutions leveraging Spark technologies
Enable robust MLOps workflows through data engineering
Support CI/CD automation for analytics workloads

Requirements:
Minimum 5 years of experience in Data Engineering
Expertise in Python and SQL programming
Hands-on experience within AWS settings
Thorough knowledge of Spark and Delta Lake
Excellent communication and teamwork abilities

Utilize your skills to drive significant impact in data engineering and mentor the next generation of engineers.
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📌 Senior Data Engineer Contract With Databricks Vaughan (Canada)
🏢 Nexus Systems Group
📍 Canada