0 years

0 Lacs

Posted:1 day ago| Platform: GlassDoor logo

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Work Mode

On-site

Job Type

Part Time

Job Description

Job Description:

As a Data Engineering Intern, you will work on enterprise-grade data engineering projects while gaining hands-on experience with modern data ecosystems and AI-driven workflows.

Key Responsibilities:

  • Design, develop, and maintain data pipelines (ETL/ELT) as per projects.
  • Work with structured, semi-structured, and unstructured data to support AI, analytics, and ML use cases.
  • Assist senior data engineers, architects on data engineering activities.
  • Optimize data workflows for accuracy, performance, scalability, and reliability.
  • Work on end-to-end data pipeline with exposure to SaaS and Open source platforms.
  • Documenting the pipeline process and SOPs.

Required Skills:

  • Bachelor’s or Master’s degree in Computer Science, Information Technology, Data Science, Mathematics, Statistics, or related fields.
  • Strong proficiency in Python and SQL.
  • Good understanding of data structures, algorithms, and database management systems.
  • Solid analytical and problem-solving capability.
  • Strong communication and collaboration skills.
  • Ability to learn quickly and adapt to fast-paced project environments.
  • Detail-oriented mindset with a passion for data engineering and cloud technologies.
  • Enthusiasm to work on enterprise solutions and real business challenges.

Basic familiarity with:

  • Cloud platforms (Azure, AWS, GCP)
  • Big Data frameworks (Spark, Hadoop – preferred)
  • ML/AI frameworks

Job Type: Internship

Work Location: In person

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