About the Role
We are seeking Lead Data Engineer with strong hands-on experience in Spark and AWS technologies. The ideal candidate should demonstrate a deep understanding of big data concepts, programming fundamentals, and the ability to solve complex problems related to scalability, failure handling, and optimization.
Key Responsibilities:
Design, develop, and optimize big data pipelines using Spark on AWS.
Implement scalable and fault-tolerant data processing solutions.
Troubleshoot and resolve performance bottlenecks in big data workflows.
Collaborate with cross-functional teams to understand business requirements and translate them into technical solutions.
Write clean, efficient, and well-documented code following core programming principles.
Continuously improve existing data infrastructure for better reliability and performance.
Required Skills & Experience:
Strong practical expe...
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