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Mid-level competition due to a common early-career data role and metro location but smaller company brand.
Low, skills are standard data engineering abilities transferable across industries.
Medium strictness: specific SQL/Python and ETL skills required but no rigid years or certifications.
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Build and maintain batch ETL/ELT pipelines for sensor and operational data to support enterprise AI solutions.
Develop data transformations and assist in modeling time-series datasets for analytics and machine learning use cases.
Implement data validation, freshness checks, and quality monitoring; collaborate with engineering and product teams on production data systems.
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.
Work Experience Required: Experience working on at least one data-focused project, internship, research project, or coursework.
Comfortable working on real production-grade data pipelines in a fast-paced startup environment.
Hands-on with batch ETL/ELT processes and time-series data modeling for ML and analytics applications.
Collaborative with cross-functional teams including Data Engineers, ML Engineers, and Product teams in hybrid work setup in Gurugram.