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Marketing Insights, 10X Faster!11-50 Employees
  • Early Stage
    Startup in initial stages
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Jobs at AdWyze

Data in its raw form is a chaos to handle and present. The problem multi folds if this data comes from multiple sources and a key decision is made only after analysing all these inputs. We play around with this data, slice & dice to make it presentable to help marketers take bigger marketing decisions. It is a big data problem that needs performance & scale solution as well the best of data science. As an engineer at AdWyze, you will work on some exciting challenges and problems that matter. Be it in visualising the numbers across different metrics, scaling the system to handle billions of records each day, taming the latency, making the product more intuitive or brining in more analytics and ad platform integrations onboard, you will be occupied with tasks that you can take pride in accomplishment. Why AdWyze? A real problem and a data driven product as a solution. A fun loving & passionate team of A+ players. Excellent peer learning Flat org structure with no hierarchy. Your voice is heard The Technologies We Use * Ruby on Rails - The heart of our product. Our platform is built on this * Python - That's the trusted weapon by our Datascience team * Javascript - React (beats Angular anytime!) * Druid, MongoDB, Postgres, Redis & Elastic search - There ought to be a reason why we are fast :) What We Look For Engineers at heart - You live to code. You experiment, fail, learn, iterate and win. And you make sure to document it. Passion & Drive to learn and excel at the things you do - You believe in our vision. You drive the product for the better and soon become the go-to person to talk to on something that you mastered along. Inquisitiveness - You are curious to know how different modules on our platform work. You are not afraid to venture into unknown territories of code. You ask questions. If you are the one with what we are looking for, we'd love for you to join us. We have openings across domains - Backend, Frontend, UX and Data Science teams.

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