Green Visor Capital

Management Company, LLC

Staff Engineer- Data engineer at Simpl
Bangalore, IN / Karnataka, IN

About Simpl 

The thrill of working at a start-up that is starting to scale massively is something else. Simpl (FinTech startup of the year - 2020) was formed in 2015 by Nitya Sharma, an investment banker from Wall Street and Chaitra Chidanand, a tech executive from the Valley, when they teamed up with a very clear mission - to make money simple, so that people can live well and do amazing things. Simpl is the payment platform for the mobile-first world, and we’re backed by some of the best names in fintech globally (folks who have invested in Visa, Square and Transferwise), and has Joe Saunders, Ex Chairman and CEO of Visa as a board member.

 

Everyone at Simpl is an internal entrepreneur who is given a lot of bandwidth and resources to create the next breakthrough towards the long term vision of “making money Simpl”. Our first product is a payment platform that lets people buy instantly, anywhere online, and pay later. In the background, Simpl uses big data for credit underwriting, risk and fraud modelling, all without any paperwork, and enables Banks and Non-Bank Financial Companies to access a whole new consumer market.

 

In place of traditional forms of identification and authentication, Simpl integrates deeply into merchant apps via SDKs and APIs. This allows for more sophisticated forms of authentication that take full advantage of smartphone data and processing power.

Staff engineer Data engineering 

Experience - 7+ years  

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Skillset:

  • Workflow manager/scheduler like Airflow, Luigi, Oozie
  • Good handle on Python
  • ETL Experience
  • Batch processing frameworks like Spark, MR/PIG
  • File formats: parquet, JSON, XML, thrift, avro, protobuff
  • Rule engine (drools - business rule management system)
  • Distributed file systems like HDFS, NFS, AWS, S3 and equivalent
  • Built/configured dashboards

Nice to have:

  • Data platform experience for eg: building data lakes, working with near - realtime applications/frameworks like storm, flink, spark.
  • AWS
  • File encoding types: Thrift, Avro, Protobuff, Parquet, JSON, XML
  • HIVE, HBASE