Data Engineering Intern (+PPO)

Batch: 2026/2027/2028. Qualifications: - Currently pursuing a Bachelor's or Master's degree in Computer Science, Data Engineering, Data Science, Information Systems, or a related field - Strong foundational knowledge of SQL and experience querying relational databases - Proficiency in Python with an interest in distributed data processing (PySpark is a plus) - Understanding of data modeling, data warehousing, or analytics engineering concepts (dbt or Medallion Architecture is a plus) - Exposure to data pipeline orchestration or ETL development; experience with Microsoft Fabric, Azure Data Factory, or similar cloud pipeline tools is a bonus - Comfortable using GitHub for version control, Azure DevOps (ADO) for ticketing, and Slack for team communication - Strong analytical thinking, problem-solving skills, and attention to detail - Eagerness to learn new technologies and continuously improve - Effective communication skills and ability to collaborate in a remote cross-functional environment - Stable internet connection and access to a PC/laptop Compensation: - Up to $25/hour (approximately 30–40 hours per week)