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Metro location and popular data-engineer intern role, balanced by college and CGPA filters reducing applicant pool.
Core data engineering skills are transferable across industries despite industrial time-series context.
Strict CGPA, college-tier, prior internship, and technical assessments enforce rigid screening.
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Build and maintain batch ETL/ELT pipelines for sensor and operational data supporting enterprise AI solutions.
Develop data transformations using Python, SQL, and frameworks; assist in time-series data modeling for analytics and machine learning.
Support ingestion, validation, and quality monitoring of client data for the company’s lakehouse platform and collaborate with engineering and product teams on production systems.
Pursuing or recently completed degree in Computer Science, Engineering, Mathematics, or related field from Tier 1 or Tier 2 Indian college.
Strong SQL skills including joins, aggregations, CTEs, and window functions; good Python programming experience with libraries like Pandas or Polars.
Completed at least one previous internship in a professional environment; minimum 7.5 CGPA or equivalent.
Work Experience Required: Internship experience; full-time work experience not explicitly mentioned. Location: Gurugram with hybrid work (2–3 days onsite).
Experience with data-focused projects involving ETL/ELT pipelines and time-series data modeling aligned to analytics or machine learning use cases.
Comfortable working in production-grade AI systems that require collaboration across Data Engineering, ML Engineering, and Product teams.
Strong foundation in SQL and Python development, capable of debugging, testing, and improving data pipeline reliability and performance.