Data Engineer – Satellite Intelligence

Company: Carnot Technologies (Mahindra Group)

Location: Marol, Andheri, Mumbai Work from office

About Carnot

Carnot was founded in 2015 with one ambition: build world-class products

out of India. Eleven years on, we're a Mahindra-backed agri-tech company

processing 20M+ pings daily on our telematics backend. With telematics

established as our core, we're now building several products on top

telemetry-driven data analytics, satellite intelligence for agriculture,

solutions for sugar mills, dealer networks, and more. We build for

farmers, mills, fleet operators, and agri-businesses across India.

The role

For our Smart Harvesting Solution (SHS), we turn satellite imagery, weather

feeds, and parcel-level farm data into predictions for sugar yield, harvest

detection, and crop health. The data is messy on purpose: farms without

perfect boundaries, weather that refuses to behave, satellite images 80%

cloud-covered exactly when you need clear data. If that sounds exciting

rather than scary, you'll feel at home here.

What you'll build

You'll own one workflow end-to-end data experiments models APIs

production pipelines and own that path for at least one workflow.

Concretely:

- Build and maintain pipelines for satellite imagery, weather data, and

parcel-level farm information

- Run Python experiments to test hypotheses around sugar yield, harvest

detection, and crop monitoring

- Convert useful experiments into production pipelines, APIs, or scheduled

jobs the kind that don't break at 2 AM

- Help us build modular components that serve SHS today and the broader

Satellite Intelligence Platform tomorrow.

This is neither a notebook-only role nor a pure ML research role. We want

someone who is genuinely happy doing both halves.

You should apply if you have

- 3+ years of professional Python experience in a production environment

(not internships, not coursework actual systems running for real users)

- Hands-on comfort with Pandas, NumPy, and wrangling messy real-world data

- Working knowledge of at least one cloud platform: AWS / GCP / Azure

- Familiarity with PostgreSQL/PostGIS, S3/GCS, or similar data systems

- At least one concrete example, recent, of an experiment or service you

personally took from idea to production

- The ability to learn fast and run with limited hand-holding we're a

small team and we expect you to take ownership from week one

Nice to have

- Experience with satellite imagery, remote sensing, GeoPandas, rasterio,

GDAL, or any geospatial work

- Experience with weather, time-series, or agronomic data

- Comfort using AI coding tools (Claude, Cursor, Codex, etc.) as part of

your daily workflow we use these heavily, primarily Claude

Culture

We're an 8-person engineering team with no hard sub-teams. We love

whiteboards the ability to explain something from first principles is

one of the highest signals we look for, in candidates and in teammates.

We focus on shipping over staying in research phase.