Data Science Intern

About the Role

We are seeking a highly motivated and analytical Data Engineering Intern to join our Data & AI team in Safina Towers, Bangalore. This internship offers an excellent opportunity to work on real-world business problems by designing, building, and supporting modern data solutions that enable analytics, reporting, artificial intelligence, and data-driven decision-making. The selected candidate will work closely with data engineers, data scientists, and business stakeholders to develop scalable data pipelines, integrate data from multiple sources, and support enterprise data platforms that deliver measurable business value.

Key Responsibilities

• Assist in collecting, ingesting, transforming, and validating data from multiple source systems.
• Support the development and maintenance of data pipelines and ETL/ELT processes.
• Perform data profiling and quality checks to ensure data accuracy, completeness, and consistency.
• Assist in designing and maintaining datasets for analytics, reporting, and AI use cases.
• Work with structured and semi-structured data from various enterprise systems.
• Support data modeling activities for data warehouses, data marts, and lakehouse environments.
• Participate in data validation, testing, troubleshooting, and performance optimization activities.
• Document data pipelines, data models, technical solutions, and best practices.
• Stay updated on emerging trends in Data Engineering, Cloud Data Platforms, Big Data, and AI-enabled data solutions.

Requirements & Tech Stack

• 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 working with 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.

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.

Desired Candidate Attributes

• Strong analytical and problem-solving mindset.
• Curiosity and willingness to learn emerging technologies.
• Ability to work independently and collaboratively in a team environment.
• Strong attention to detail and commitment to delivering quality work.