Job Description
Join a cutting-edge project as a Senior DataOps / Cloud Data Engineer with a focus on enterprise cloud data solutions. Ideal candidates will leverage their experience in building scalable data pipelines while working onsite in Toronto.
You'll play a critical role in designing, developing, and optimizing data infrastructure for diverse datasets in a cloud environment. The position requires profound skills in Python-based data tools like Pandas and PySpark, along with expertise in AWS services such as Glue, Lambda, and S3. Your capability to navigate lakehouse architectures and complex ETL workflows will set you apart in this senior role.
Key Responsibilities:
• Design and implement enterprise data pipelines and solutions
• Develop advanced data transformation processes
• Maintain scalable data warehouse and lakehouse models
• Build cloud-native integrations and orchestrations
• Monitor and optimize data pipeline performance
Requirements:
• 5+ years in data eng...
You'll play a critical role in designing, developing, and optimizing data infrastructure for diverse datasets in a cloud environment. The position requires profound skills in Python-based data tools like Pandas and PySpark, along with expertise in AWS services such as Glue, Lambda, and S3. Your capability to navigate lakehouse architectures and complex ETL workflows will set you apart in this senior role.
Key Responsibilities:
• Design and implement enterprise data pipelines and solutions
• Develop advanced data transformation processes
• Maintain scalable data warehouse and lakehouse models
• Build cloud-native integrations and orchestrations
• Monitor and optimize data pipeline performance
Requirements:
• 5+ years in data eng...
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