Big Data Developer

0 years

0 Lacs

Posted:9 hours ago| Platform: Linkedin logo

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Work Mode

On-site

Job Type

Full Time

Job Description

Big Data Engineer

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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