Enhance your career as a Senior DataOps & Cloud Data Engineer at 5700 Yonge St., Toronto. This role is focused on data engineering and building advanced data pipelines onsite.
The position is a 1-year 11-month contract, emphasizing expertise in building data lakehouse solutions and executing complex data transformations. Ideal candidates will utilize their knowledge of pandas, pyspark, and AWS tools like Glue and Lambda for high-quality data modeling and ETL processes. Your contributions will play a significant role in the project’s success.
Key Responsibilities:
• Design and develop effective data pipelines using Databricks
• Execute elaborate data transformations and troubleshooting efforts
• Create data models specifically for data warehouses and lakehouses




• Solve issues that arise in data processing operations
• Collaborate effectively with technical teams on data solutions
Requirements:
• Extensive experience in data engineering and analytics
• Proficiency in using pandas and pyspark for data manipulation
• Understanding of Databricks and comprehensive AWS tooling
• Capable of managing different data formats efficiently
• Experience with structured and unstructured data
Leverage your data engineering skills in this prominent onsite role to empower cloud data initiatives in Toronto.
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📌 Onsite Senior DataOps Engineer Role (Toronto)
🏢 Source Code
📍 Toronto