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Big data developer

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Onsite

Big data developer

GIG Consultants

Big data developer

Skills

Big DataPythonJavaScalaHadoop

10 months ago

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Important information


Contract type:

Permanent

Location:

Delhi, India

Work mode:

Onsite

Published on:

14 October 2026

What they need


Job highlights

  • Strong communication and interpersonal skills. Disclaimer: This job description has been sourced from a public domain and may have been modified by Naukri.com to improve clarity for our users
  • The ideal candidate will have experience in big data development and be able to work on complex projects
  • Experience with programming languages like Java,Python,or Scala

We are looking for a skilled Big Data Developer to join our team at GIG Consultants. The ideal candidate will have experience in big data development and be able to work on complex projects.

Roles and Responsibility

  • Design, develop, and implement big data solutions using various technologies.
  • Collaborate with cross-functional teams to identify business requirements and develop solutions.
  • Develop and maintain large-scale data systems and architectures.
  • Optimize data processing and analysis for performance and scalability.
  • Troubleshoot and resolve technical issues related to big data systems.
  • Stay updated with industry trends and emerging technologies in big data.

Job Requirements

  • Strong understanding of big data concepts and technologies such as Hadoop, Spark, and NoSQL databases.
  • Experience with programming languages like Java, Python, or Scala.
  • Knowledge of cloud-based big data platforms and services.
  • Excellent problem-solving skills and attention to detail.
  • Ability to work collaboratively in a team environment.
  • Strong communication and interpersonal skills.

Disclaimer: This job description has been sourced from a public domain and may have been modified by Naukri.com to improve clarity for our users. We encourage job seekers to verify all details directly with the employer via their official channels before applying.

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