Data Engineer

at Paysense Services India Pvt Ltd

Data Engineer

Paysense Services India Pvt Ltd

Company

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Data Engineer

at Paysense Services India Pvt Ltd

Posted by Pragya Singh

2 - 7 yrs

₹10L - ₹30L / yr

Delhi, Gurugram, Noida, Mumbai

Skills

Python

Data Analytics

Hadoop

Data Warehouse (DWH)

Machine Learning (ML)

About the job: - You will work with data scientists to architect, code and deploy ML models - You will solve problems of storing and analyzing large scale data in milliseconds - architect and develop data processing and warehouse systems - You will code, drink, breathe and live python, sklearn and pandas. It’s good to have experience in these but not a necessity - as long as you’re super comfortable in a language of your choice. - You will develop tools and products that provide analysts ready access to the data About you: - Strong CS fundamentals - You have strong experience in working with production environments - You write code that is clean, readable and tested - Instead of doing it second time, you automate it - You have worked with some of the commonly used databases and computing frameworks (Psql, S3, Hadoop, Hive, Presto, Spark, etc) - It will be great if you have one of the following to share - a kaggle or a github profile - You are an expert in one or more programming languages (Python preferred). Also good to have experience with python-based application development and data science libraries. - Ideally, you have 2+ years of experience in tech and/or data. - Degree in CS/Maths from Tier-1 institutes.

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About Paysense Services India Pvt Ltd

Founded :

2015

Type :

Product

Size :

100-500

Stage :

Profitable

About

Founded in 2015 and based out of Mumbai, Paysense is a venture backed, financial services startup. We are an amazing team of highly diverse, like minded people solving the fundamental problem of not having simple, convenient and transparent access to credit in India today. We stand for making all things finance more simple, accessible and transparent. We specialize in using advanced data sciences to provide credit without the hassle of complex application processes, arduous physical proofs and long waits.

Pragya Singh

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