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Metro location, common data skillset, and popular intern role increase applicant density.
Core data engineering skills are easily transferable across industries despite industrial domain specifics.
CGPA and college-tier filters plus internship requirement and technical assessments enforce strict screening.
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Build and maintain batch ETL/ELT pipelines for sensor and operational data relevant to enterprise AI solutions in industrial monitoring.
Develop data transformations using Python and SQL, and assist in modeling time-series datasets for analytics and machine learning.
Implement data validation, freshness checks, quality monitoring, and support data ingestion into the company’s lakehouse platform.
Pursuing or recently completed a degree in Computer Science, Engineering, Mathematics, or related field from Tier 1 or Tier 2 Indian college.
Strong SQL fundamentals (joins, aggregations, CTEs, window functions) and good Python skills with libraries like Pandas or Polars.
Should have completed at least one professional internship and one data-focused project or coursework (internship in professional environment mandatory).
Minimum 7.5 CGPA or equivalent, willing to work hybrid (2-3 days onsite) in Gurugram.
Familiar with ETL/ELT, data modeling, batch processing, and pipeline fundamentals to support production-grade AI data systems.
Experience or comfort working in startup or fast-paced environments with collaborative development workflows using Git.
Strong analytical and problem-solving skills with prior exposure to data engineering through academic projects or internships.