Big Data Developer

3 days ago

Pune, India UST Full time

We are seeking a Big 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 experience with Apache Spark and big data ecosystems. - Hands-on experience with AWS services relevant to big data (e.g., EMR, S3, Lambda). - Solid understanding of core programming fundamentals, including Object-Oriented Programming (OOP) concepts. - Proven problem-solving skills related to scaling, failure handling, and performance optimization in big data environments. - Ability to explain not just what technologies are used, but why and how they work. - Familiarity with common big data terms and best practices.

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