We are hiring Data Engineer

Location: Gurugram
Work Mode: Hybrid

The Opportunity
Our AI platform diagnoses failures on industrial assets worth hundreds of millions of dollars, and every model, copilot, and dashboard sits on top of the data you’d own. We ingest high-frequency sensor and operational data from enterprise clients and turn it into the clean, modeled, reliable datasets that ML and analytics run on.
Your primary job is growing the lakehouse: ingestion from client systems, transformation and modeling, and serving trustworthy data to two consumers, the ML/AI feature pipelines and self-serve analytics for internal teams and clients. Alongside that, you’ll work in the relational database the product runs on, and you’ll need a working understanding of distributed systems to reason about correctness when the pieces between source and lakehouse fail.

About Mechademy
Mechademy builds an enterprise AI platform for real-time monitoring, diagnostics, and predictive maintenance of industrial equipment. Venture-funded and growing fast, 70+ people across New Delhi and Houston,



with physics-informed ML and production AI on every deployment. Clients in oil & gas, power generation, and LNG.

What You’ll Own
Lakehouse Pipelines & Ingestion (35%)
Design and own batch ETL/ELT and CDC pipelines that bring sensor and operational data into the lakehouse, orchestrated in Dagster.
Build for reliability: idempotent, incremental, backfill-protected pipelines with sane retry and failure handling, that still produce correct output when a worker is killed mid-run or a message is delivered twice.
Onboard new client data sources: schema and tag mapping, time-series normalization, resampling, gap handling at scale.
Modeling & Serving (25%)
Model raw data into well-structured, documented tables that downstream ML and analytics can trust.
Build and maintain the datasets behind ML feature pipelines and the lakehouse layer powering self-serve analytics.
Write performant Spark/PySpark and SQL; o

📌 Data Engineer (Gurugram)
🏢 Mechademy
📍 Gurugram