Opportunity Description
Cognizant seeks an Azure Data Engineer experienced in Data Lakes and streaming architectures. This hybrid position allows for a flexible work schedule while you drive the creation of data-driven business solutions.
In this role, you will utilize your strong knowledge of Spark, Python, and event-driven architectures to design and optimize scalable data platforms. You'll focus on developing efficient data pipelines and ensuring high throughput for various business domains. Your collaboration with cross-functional teams will be essential in delivering impactful data solutions.
Key Responsibilities:
• Develop and maintain scalable Data Lake solutions
• Build batch and real-time data pipelines using Spark and Kafka
• Ensure reliable streaming solutions with event-driven architectures
• Automate data workflows with Python components
• Focus on optimizing platform performance and reliability
Requirements:
• Strong expe...
In this role, you will utilize your strong knowledge of Spark, Python, and event-driven architectures to design and optimize scalable data platforms. You'll focus on developing efficient data pipelines and ensuring high throughput for various business domains. Your collaboration with cross-functional teams will be essential in delivering impactful data solutions.
Key Responsibilities:
• Develop and maintain scalable Data Lake solutions
• Build batch and real-time data pipelines using Spark and Kafka
• Ensure reliable streaming solutions with event-driven architectures
• Automate data workflows with Python components
• Focus on optimizing platform performance and reliability
Requirements:
• Strong expe...
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