Take your data engineering skills to the next level as a Senior DataOps Cloud Engineer in Toronto, ON. Focus on building effective data pipelines and managing cloud-based solutions for health services.
The ideal candidate will develop, test, and implement data models and transformation procedures using Databricks and AWS Glue. Proficiency in Python, SQL, and data management techniques such as pandas and pyspark is required. Your expertise will be instrumental in optimizing cloud data workflows and ETL processes.
Key Responsibilities:
• Develop, test, and troubleshoot data pipelines with AWS Glue
• Implement data modeling and transformation for data warehouses
• Automate data processing workflows and orchestration
• Manipulate and analyze data across various formats
• Support full SDLC from design to deployment
Requirements:
• Expertise in cloud data solutions and data engineering
• Proficient in Python, SQL, and scripting languages
• Experience with AWS...