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Mechademy

Mechademy

1 posting · 1 open role

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About Mechademy

Mechademy is an enterprise AI company building real-time monitoring, diagnostics, and predictive maintenance solutions for industrial equipment. The company serves clients across oil & gas, power generation, and LNG sectors through production-grade AI and physics-informed machine learning systems.

Job posts (1)

Explore Exciting Fresher & Experienced Roles at Mechademy

Posted August 26, 2026 · 1 role

Data Engineer Intern

InternshipData / AI / ML
Delhi NCR, Gurugram, Gurgaon (Gurugram)0 to 1 years₹50,000 per month

Skills

SQLPythonPandasPolarsETLELTData ModelingGitAWS S3AWS GlueSnowflakeDatabricksCloudWatch

Qualification

  • Pursuing or recently completed a degree in Computer Science, Engineering, Mathematics, or a related field.

Skills Required

  • 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

Roles & 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.