Data Engineer Intern – Build Production Data Pipelines

About the role

Mechademy is looking for a Data Engineer Intern to work on production‑grade data pipelines, data modeling and analytics that power enterprise AI solutions for industrial equipment monitoring and predictive maintenance.

Key responsibilities

• Build and maintain batch ETL/ELT pipelines for sensor and operational data.
• Develop data transformations using Python, SQL and data‑processing frameworks.
• Model and organize time‑series datasets for analytics and machine‑learning use cases.
• Support ingestion of client data into the company’s lakehouse platform.
• Implement data validation, freshness checks and quality monitoring.
• Contribute to datasets used by ML feature pipelines and business analytics.
• Debug, test and improve pipeline reliability and performance.
• Collaborate with Data Engineers, ML Engineers and Product teams on production systems.

Required profile

• Pursuing or recently completed a degree in Computer Science, Engineering, Mathematics or a related field.
• Strong SQL fundamentals (joins, aggregations, CTEs, window functions).
• Good Python programming skills with experience in Pandas, Polars or similar libraries.
• Understanding of ETL/ELT, data modeling, batch processing and pipeline fundamentals.
• Experience on at least one data‑focused project, internship, research or coursework.
• Familiarity with Git and collaborative development workflows.
• Completed at least one prior internship in a professional environment.

Required skills

• Python
• SQL
• Pandas / Polars
• Git
• ETL / ELT
• Data modeling
• Batch processing
• Data validation

What we offer

• Hybrid work model (2–3 days onsite in Gurugram).
• Stipend of ₹50,000 per month.