We are looking for a Data Engineering Intern who is passionate about working with data, building scalable data pipelines and solving real-world business problems through technology.

As part of the Data/Technology team, you will work on live projects involving data ingestion, transformation, data quality, automation and analytics infrastructure across our digital-first brands and platforms.

This is a hands-on opportunity to learn how data powers D2C commerce, customer experience, supply chain, marketing and business decision-making.

What You Will Do

- Build and maintain ETL/ELT data pipelines for structured and semi-structured data.
- Write efficient SQL queries for data extraction, transformation and analysis.
- Develop data transformation and automation workflows using Python.
- Work with databases, data warehouses and cloud-based data platforms.
- Integrate data from multiple sources such as e-commerce platforms, APIs, applications and business systems.
- Perform data cleaning, validation and quality checks to ensure data accuracy.
- Support development of reusable datasets and data models for analytics and reporting.
- Troubleshoot pipeline failures and investigate data inconsistencies.
- Automate repetitive data-processing and reporting activities.
- Collaborate with Data Scientists, Analysts, Product Managers and Engineering teams.




- Explore opportunities to use AI/ML and automation to improve data engineering processes.
- Document data pipelines, processes and technical solutions.

What We’re Looking For
- Currently pursuing a B.Tech/B.E./M.Tech in Computer Science, Information Technology, Data Science, Electronics or a related discipline.
- Strong understanding of SQL and Python.
- Good understanding of data structures, databases and programming fundamentals.
- Familiarity with relational databases such as MySQL/PostgreSQL is preferred.
- Basic understanding of ETL/ELT concepts and data pipelines.
- Exposure to any cloud platform such as AWS, GCP or Azure is a plus.
- Familiarity with tools such as Spark, Airflow, dbt, Kafka or Databricks is an added advantage.
- Strong problem-solving and analytical thinking skills.
- Curiosity to understand how technology and data can solve business problems.
- Ability to work independently while collaborating effectively with cross-functional teams.

Valuable to Have
- Academic or personal projects involving data pipelines, APIs, databases or analytics platforms.
- Experience working with Git/GitHub.
- Exposure to REST APIs and JSON.
- Understanding of data warehousing concepts.
- Participation in hackathons, coding competitions or open-source projects.

📌 Data Engineering Intern (Bengaluru)
🏢 TMRW House of Brands
📍 Bengaluru