Job Description

Data Engineers @ REBEL FOODS About Rebel Foods: World\'s leading consumer companies are all technology / new age companies - Amazon (retail), Airbnb (Hospitality), Uber (mobility), and Netflix / Spotify (Entertainment). The only sector where traditional companies are still the largest ones is restaurants - McDonald\'s (with a market cap of 130 BN USD). With Food Delivery growing exponentially worldwide, there is an opportunity to build the world\'s most valuable restaurant company on the internet, superfast. We have the formula to be that company. Today, we can safely say we are t he world\'s largest delivery-only / internet restaurant company, and by a wide margin with 4000+ individual internet restaurants, in 40+ cities and 7 countries (India, Indonesia, UAE, UK, Malaysia, Singapore, Bangladesh. It\'s still Day 1, but we know we are onto something very, very big. We have a once-in-a-lifetime opportunity to change the 500-year-old industry that hasn\'t been disrupted at its core by technology. For more details on how we are changing the restaurant industry from the core, please refer below. It\'s important reading if you want to know our company better and really explore working with us https://medium.com/@jaydeep_barman/why-is-rebel-foods-hiring-super-talented-engineers b88586223ebe https://medium.com/@jaydeep_barman/how-to-build-1000-restaurants-in-24-months-the-rebel-method cb5b0cea4dc8 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 Data Platform, Data Science (ML/Statistics), Analytics (Business & Systems - 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. A few of those are - - Personalisation - 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 checks, product identification, and safety checks across the kitchens - Big data platform to ingest events, transaction data, and 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 the continuous adoption of emerging technologies to solve customer problems in a fast and innovative fashion. Data Platforms and Data Science will remain the backbone in driving the decisions for the best customer experiences and the best operating models. The Role We are on the lookout for someone who can come on board to solve known/unknown business & customer use cases thru\' data platforms 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 - Big data technologies such as Spark, Hadoop, Teradata, SQL/NoSQL DBs, Storage systems, Streaming APIs, and so forth 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. The Rebel Culture We believe in empowering and growing people to perform their best at their job functions. We follow outcome-oriented, fail-fast iterative & collaborative culture to move fast in building tech solutions. Rebel is not a usual workplace. The following slides will give you a sense of our culture, how Rebel conducts itself and who will be the best fit for our company. We suggest you go through it before making up your mind. https://www.slideshare.net/JaydeepBarman/culture-rebe l If you find this intriguing, we should meet. Please reach out to [HIDDEN TEXT] with your background and a few lines about why you are interested in this space we are trying to create. Thank you.

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