Background :

- Data in today's world is the most important element in driving the decisions for customer experience, business, and everything in general. Most of the high growth consumer based internet companies (e.g. Amazon - Retail, Netflix - Entertainment/Media, Uber - Mobility etc) have constantly been disrupting their respective industries by powering their end to end business processes and products with in-depth data analysis and data science systems. The restaurant industry still remains the major consumer-centric industry where online penetration and automations are minuscule. Our goal is simple - to change this incumbent mode of business in the food space.

- Today, with 3000+ virtual / delivery only internet restaurants in 40 cities across India, Indonesia, UAE and UK with 15+ brands (Faasos, Behrouz Biryani, Oven Story pizza etc), Rebel Foods is the world's largest and fastest growing internet restaurant company. Online Food Services (FoodTech) could be broken into Food Discovery (commerce), Preparation (manufacturing/SCM) & Delivery (logistics) platforms and each of these vertical/platform has many use cases which need to be solved at scale.

- Many companies (Swiggy, Zomato, DoorDash, Delivery Hero, Gojek etc) are solving the use cases to some extent in FoodDiscovery and Food-Delivery Tech. Food-Preparation Tech remains old world solutions. While we collaborate with many of these companies across the world, we solve the customer problems in food space of all these verticals in an integrated fashion. As a data engineer, you will have interesting challenges in enhancing/re-architecting & managing the data platform & data science models/programs while solving some of the industry-first problem statements of FoodTech industry. In case you are interested in deep diving into the work we have already done and the kind we endeavour to do, the blogs below might be a good start:

https://medium.com/@jaydeep_barman/why-is-rebel-foods-hiring-super-talented-engineersb88586223ebe 

https://medium.com/@jaydeep_barman/how-to-build-1000-restaurants-in-24-months-the-rebel-methodcb5b0cea4dc8

https://medium.com/faasos-story/winning-the-last-frontier-for-consumer-internet-5f2a659c43db 

https://medium.com/faasos-story/a-unique-take-on-food-tech-dcef8c51ba41

Data Engineering @ Rebel

Data Engineering @ Rebel comprises of Data Platform, Data Science (ML/Statistics), Analytics (Business & System - MIS/Reports/BI Tools), AI/IOT (vision computing, quality check etc). We work on many interesting data engineering use cases at scale which require constant innovation and disruption. Few of those are -

- Personalization - Recommendation Engine, Dynamic pricing etc

- Customer engagement/retention, Campaign Management

- NLP to improve customer experiences

- Predictive modelling for inventory, resources, kitchen operations etc

- Operating metrics for kitchen machines, resources etc

- Vision Computing to do food quality check, product identification, safety checks across the kitchens

- Big data platform to ingest events, transaction data, behavioural data from millions of consumers

Future of Data Engineering @ Rebel

Rebel Engineering function is working on Software + Robotics + Automation to solve the toughest problems for our customers and make their food missions unique, memorable and delightful & sure. We believe in continuous adoption of emerging technologies to solve customer problems in fast and innovative fashion. Data platform and Data science will remain the backbone in driving the decisions for the best customer experiences and the best operating models.

We are in the lookout for someone who can come on board to solve known/unknown business & customer use cases thru’ data platform and data science. In this role, you must have a passion for research and data to solve problems at scale for both customers and the company. You should be highly proficient with one or more of the following skillsets -

- Data Science - Machine learning (regression, classification, random forest, k nearest etc), Deep learning (Neural Networks, Tensorflow/Keras etc), AI, Statistics, SQL/NoSQL DBs -

- Data Platform - Big data technologies such as Spark, Hadoop, Teradata, SQL/NoSQL DBs, Storage systems, Streaming APIs, and so forth;

- Data Analytics - Data visualisation (Reporting/MIS/BI) Tools, SQLs, ETLs

We expect you to be excellent in writing efficient programs (Python/R/Java etc) and problem solving skills. You will work closely with the Business, Product and Engineering teams and will report to the Head of Data Engineering.

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