About the Job
Mechademy is hiring a Data Engineer Intern to work on production-grade data pipelines, data modeling, and analytics systems that support enterprise AI solutions for industrial equipment monitoring and predictive maintenance.
In this role, interns will work with sensor and operational data, build and maintain ETL/ELT pipelines, support data ingestion and quality monitoring, and contribute to datasets used for machine learning and business analytics. The role also involves collaboration with Data Engineers, ML Engineers, and Product teams on production systems.
Job Overview
Eligibility Criteria
- Pursuing or recently completed a degree in Computer Science, Engineering, Mathematics, or a related field.
- Strong SQL fundamentals, including joins, aggregations, CTEs, and window functions.
- Good Python programming skills with experience using Pandas, Polars, or similar libraries.
- Understanding of ETL/ELT, data modeling, batch processing, and data pipeline fundamentals.
- Experience working on at least one data-focused project, internship, research project, or relevant coursework.
- Familiarity with Git and collaborative development workflows.
- Strong problem-solving and analytical thinking skills.
- Willingness to learn and work in a fast-paced startup environment.
- Should have completed at least one internship in a professional work environment.
Key Responsibilities
- Build and maintain batch ETL/ELT pipelines for sensor and operational data.
- Develop data transformations using Python, SQL, and data processing frameworks.
- Assist in modeling and organizing time-series datasets for analytics and machine learning use cases.
- Support the 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.
Skills Required
- Programming: Python
- Data Processing: Pandas, Polars, Data Processing Frameworks
- Database & Querying: SQL, Joins, Aggregations, CTEs, Window Functions
- Data Engineering: ETL, ELT, Data Modeling, Batch Processing, Data Pipelines
- Data Systems: Lakehouse Platforms, Time-Series Data
- Data Quality: Data Validation, Freshness Checks, Quality Monitoring
- Version Control: Git, Collaborative Development Workflows
- Analytics: Business Analytics, Machine Learning Data Pipelines
- Professional Skills: Problem-Solving, Analytical Thinking, Collaboration, Communication, Learning Agility
Skills to Add in Your Resume
| Programming | Python, Pandas, Polars |
| SQL | Joins, Aggregations, CTEs, Window Functions |
| Data Engineering | ETL, ELT, Data Modeling, Batch Processing, Data Pipelines |
| Data Systems | Lakehouse Platforms, Time-Series Data |
| Data Quality | Data Validation, Freshness Checks, Quality Monitoring |
| Version Control | Git, Collaborative Development |
| Analytics | Business Analytics, ML Feature Pipelines |
Benefits
- Work on real production data systems from day one.
- Gain hands-on experience building production-grade data pipelines.
- Work with sensor and operational data used for industrial AI and machine learning applications.
- Gain practical exposure to data modeling, ETL/ELT, batch processing, and data quality monitoring.
- Contribute to datasets used by ML feature pipelines and business analytics.
- Collaborate with experienced Data Engineers, ML Engineers, and Product teams.
- Gain experience working in a fast-paced startup environment.
Who Can Apply?
- Students currently pursuing a degree in Computer Science, Engineering, Mathematics, or a related field.
- Recent graduates from relevant degree programs can also apply.
- Candidates with strong SQL and Python fundamentals.
- Candidates with knowledge of ETL/ELT, data modeling, batch processing, and pipeline fundamentals.
- Candidates who have completed at least one internship in a professional work environment.
- Candidates with at least one data-focused project, internship, research project, or relevant coursework.
- Candidates familiar with Git and collaborative development workflows.
How to Apply
Before You Apply
- Make sure you meet the required educational and internship criteria.
- Review your knowledge of SQL, Python, ETL/ELT, data modeling, and data pipelines.
- Keep your relevant data-focused projects, internship experience, or coursework ready to discuss.
- Make sure your resume clearly highlights your technical skills and practical experience.
- Prepare for the SQL & Python Assessment and technical discussion.
- Review the complete job description before submitting your application.
Frequently Asked Questions
What is the job role at Mechademy?
Mechademy is hiring for the position of Data Engineer Intern. The role involves working on production-grade data pipelines, data modeling, and analytics systems supporting enterprise AI and machine learning applications.
Who is eligible for the Data Engineer Intern role?
Candidates pursuing or recently completing a degree in Computer Science, Engineering, Mathematics, or a related field can apply. Candidates should also have strong SQL and Python fundamentals and should have completed one internship in a professional work environment.
What skills are required for this internship?
The key requirements include SQL, Python, Pandas or Polars, ETL/ELT, data modeling, batch processing, data pipelines, Git, and strong analytical and problem-solving skills.
Where is the Data Engineer Intern position located?
The position is based in Gurugram, India and follows a hybrid work model, with 2–3 days on-site.
What is the interview process for this role?
The interview process consists of a SQL & Python Assessment, Technical Discussion, and Culture Fit Round.
Does the internship require prior internship experience?
Yes. The job description states that candidates should have completed one internship in a professional work environment.
How can I apply for the Data Engineer Intern position?
Interested candidates can apply through the official application page provided in the How to Apply section of this article.