Elevate your career as a Senior Data Engineer specializing in Databricks at our Toronto location. This contract position offers a hybrid work model and focuses on Lakehouse architecture.
We are seeking a seasoned Data Engineer with over 8 years of hands-on experience in Databricks and a strong grasp of Delta Lake architectures. This role demands expertise in advanced SQL, data modeling, and a deep understanding of Spark for performance tuning and productive large-scale data processing. Familiarity with cloud platforms like AWS, Azure, or GCP is essential.
Key Responsibilities:
• Design and implement Lakehouse architectures using Delta Lake
• Manage and optimize large-scale data processing with Spark
• Develop and execute advanced SQL queries for data analysis




• Collaborate on data modeling to support business insights
• Work within cloud environments to deploy solutions
Requirements:
• 8+ years of experience in data engineering
• Proven skills in Databricks and Delta Lake technology
• Deep understanding of SQL and data modeling principles
• Experienced in cloud solutions (AWS, Azure, GCP)
• Background in Banking/Financial sectors preferred
Become part of our dynamic team by leveraging your skills in data engineering and cloud technologies.
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📌 Senior Data Engineer with Databricks Expertise (Toronto)
🏢 Pacer Group
📍 Toronto