Full-time
Azure Data Engineer (with Databricks, PySpark)
Posted by Cognizant • Toronto, Ontario, Canada
About the Role
**About the role:**
As an **Azure Data Engineer** , you will make an impact by designing and implementing scalable data architecture solutions that power analytics, ML Ops, and enterprise data workflows within the Cards & Payments domain. You will be a valued member of our technology team and collaborate closely with cross‑functional partners, engineering groups, and business stakeholders to deliver secure, high‑performance data solutions.
**In this role, you will:**
+ Design and implement scalable data solutions using Azure Databricks to optimize data processing and analytics workflows.
+ Integrate and orchestrate data movement using Azure Data Factory to support seamless data transformation pipelines.
+ Develop and maintain ML Ops pipelines to ensure efficient deployment, monitoring, and continuous improvement of machine learning models.
+ Translate business requirements into technical specifications...
As an **Azure Data Engineer** , you will make an impact by designing and implementing scalable data architecture solutions that power analytics, ML Ops, and enterprise data workflows within the Cards & Payments domain. You will be a valued member of our technology team and collaborate closely with cross‑functional partners, engineering groups, and business stakeholders to deliver secure, high‑performance data solutions.
**In this role, you will:**
+ Design and implement scalable data solutions using Azure Databricks to optimize data processing and analytics workflows.
+ Integrate and orchestrate data movement using Azure Data Factory to support seamless data transformation pipelines.
+ Develop and maintain ML Ops pipelines to ensure efficient deployment, monitoring, and continuous improvement of machine learning models.
+ Translate business requirements into technical specifications...
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