Data Engineer

₹15L – ₹20L
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Company is democratizing commerce in India through its social commerce platform. creating entrepreneurs with zero investment (with a large majority being women) and getting the next 400M users (from smaller towns) to transact online.

Have young team of 300+ highly motivated individuals from pedigree institutions such as IITs and IIMs. Our fundamental belief is that technology is going to be the game changer in the coming years. We are a team of geeks who take pride in solving problems by creative use of technology.

Company is Series B funded by top global funds including Kalaari Capital, Unilever Ventures, Stellaris Venture Partners and Vy Capital.

To architect the design of the data platform, lead strategy planning and execution for all the data platform changes.
Build stream processing systems to capture request/event level data from source systems, do the pre-processing, compute additional metrics for analysis and make the data available for downstream systems in real time.
All Metrics to be available to end users in real time either through dashboards or for ad-hoc Querying, Metric computation logic to be completely transparent to end users.
Data platform design to focus on scalability, low latency, high throughput and less maintenance effort. Automatic test cases to validate accuracy of the metrics.
Data Platform to have backfill mechanism to handle computation logic changes.

Skill Sets
Bachelors/master’s in computer science form top tier Engineering School
4+ years prior engineering experience in building scalable systems
Prior experience in building stream processing systems (Kafka/Kinesis) - Mandatory
Proven ability to work on fast paced environment.
History and Familiarity of server-side development of APIs, databases, devops and systems.
Prior experience on Spark SQL, Scala, Hadoop, Hive – preferable.
Fanatic about building scalable, reliable data products

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