Commercify360
https://commercify360.comAbout
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Amazon Web Services (AWS)
PythonAbout Us:
Datum builds market intelligence solutions for the retail industry. We transform public and proprietary data into actionable insights that help retail brands decide where to expand, compete, and grow. We are a small, fast-moving team that works closely with customers and
believes in shipping impactful products quickly.
About the Role
We're looking for a Full Stack Platform Engineer to build and own our end-to-end product ecosystem, including:
● Data acquisition through scalable web scraping and ETL pipelines
● Customer-facing analytics platform
● Geospatial analysis engine powering retail insights
You'll work across frontend, backend, data engineering, cloud infrastructure, and geospatial systems while collaborating directly with the founder and customers.
Key Responsibilities
● Build scalable web scrapers and ETL pipelines
● Develop customer-facing features using React/Next.js
● Design REST & WebSocket APIs
● Work with PostgreSQL/PostGIS and geospatial data
● Own deployment, CI/CD, monitoring, and cloud infrastructure
● Translate customer feedback into product features
Must-Have Skills
● 3–6 years of Full Stack development experience
● Python (FastAPI/Django)
● React or Next.js with JavaScript/TypeScript
● Web scraping using Scrapy, Playwright, Selenium, or BeautifulSoup
● PostgreSQL (PostGIS preferred)
● REST APIs, JWT/OAuth
● Docker, Git, AWS/GCP/Azure
● Understanding of proxy rotation and anti-bot techniques
Good to Have
● Mapbox, Leaflet, or Google Maps Platform
● Airflow, Redis, Kafka, or SQS
● Experience with large-scale scraping (Google Maps, Zomato, Justdial, etc.)
● Geospatial analytics or retail domain experience
● Startup experience with end-to-end ownership
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