Requirements
- 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 pipeline fundamentals
- Experience working on at least one data-focused project, internship, research project, or coursework
- Familiarity with Git and collaborative development workflows
- Strong problem-solving and analytical thinking skills
- Eagerness to learn and work in a fast-paced startup environment
- Should have completed one internship in a professional work environment
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 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
Job Details
Gurugram — Hybrid (2–3 days on-site)
Interview Process
- SQL & Python Assessment
- Technical Discussion
- Culture Fit Round
