Big Data Developer

4 weeks 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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