AT

Data Engineering Intern

atkinsrealis
Bangalore Posted 4 Nov 2026
FULL TIME
Git
Github
Data Structures And Algorithms
Python Programming
Sql

Job Description

Overview

We are looking for an Intern to join our team at the Safina Towers, Bangalore office.

Your Role

As a highly motivated and analytical Data Engineering Intern, you will work with our Data & AI team to address real-world business challenges. The internship involves designing, building, and supporting modern data solutions that power analytics, reporting, artificial intelligence, and data-driven decision-making.

You will collaborate with data engineers, data scientists, and business stakeholders to create scalable data pipelines, integrate data from multiple sources, and help maintain enterprise data platforms that deliver measurable business value.

About You

  • Help collect, ingest, transform, and validate data from multiple source systems.
  • Support the development and ongoing maintenance of data pipelines and ETL/ELT processes.
  • Conduct data profiling and quality checks to confirm accuracy, completeness, and consistency.
  • Assist in designing and maintaining datasets for analytics, reporting, and AI use cases.
  • Work with structured and semi-structured data across various enterprise systems.
  • Support data modeling efforts for data warehouses, data marts, and lakehouse environments.
  • Join data validation, testing, troubleshooting, and performance optimization activities.
  • Document data pipelines, data models, technical solutions, and best practices.
  • Stay current with new developments in Data Engineering, Cloud Data Platforms, Big Data, and AI-enabled data solutions.

Required Qualifications

  • Pursuing or recently completed a Bachelor'S or Master's degree in:
  • Computer Science
  • Data Engineering
  • Information Technology
  • Software Engineering
  • Data Science
  • Mathematics
  • Engineering
  • Related quantitative disciplines
  • Strong academic foundation in programming, databases, and data management concepts.
  • Familiarity with data transformation, data processing, and data quality techniques.
  • Strong problem-solving and analytical thinking skills.
  • Good communication and presentation abilities.

Technical Skills

  • Strong foundation in Python programming.
  • Understanding of SQL and relational database concepts.
  • Understanding of data structures and algorithms.
  • Knowledge of ETL/ELT concepts and data integration principles.
  • Experience using data processing libraries such as Pandas.
  • Familiarity with Git/GitHub or other version control systems.
  • Basic understanding of data warehousing and lakehouse concepts.
  • Ability to work with structured and semi-structured datasets.
  • Desired Candidate Attributes
  • Strong analytical and problem-solving mindset.
  • Curiosity and willingness to learn emerging technologies.
  • Ability to work independently and as part of a team.
  • Strong attention to detail and commitment to delivering high-quality work.
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