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Data Engineer + Apache spark

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Onsite

Data Engineer + Apache spark

GIG Consultants

Data Engineer + Apache spark

Skills

Data EngineeringPythonJava

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 a strong background in data engineering and experience working with large datasets
  • Experience with Apache Spark and its ecosystem

We are looking for a skilled Data Engineer with expertise in Apache Spark to join our team at GIG Consultants. The ideal candidate will have a strong background in data engineering and experience working with large datasets.

Roles and Responsibility

  • Design, develop, and implement data pipelines using Apache Spark.
  • Collaborate with cross-functional teams to identify and prioritize project requirements.
  • Develop and maintain large-scale data systems and architectures.
  • Ensure data quality and integrity by implementing data validation and testing procedures.
  • Optimize data processing workflows for performance and scalability.
  • Troubleshoot and resolve technical issues related to data engineering projects.

Job Requirements

  • Strong understanding of data engineering principles and practices.
  • Experience with Apache Spark and its ecosystem.
  • Proficiency in programming languages such as Python or Java.
  • 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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