Company Name:-
Paytm

Job Location:-
Bengaluru, Karnataka

Job Summary:-
About Paytm Group:
Paytm is India’s leading financial services company that offers full-stack payments & financial solutions to consumers, offline merchants and online platforms.

The company is on a mission to bring half a billion Indians into the mainstream economy through payments, commerce, banking, investments, and financial services.

One97 Communications Limited that owns the brand Paytm is founded by Vijay Shekhar Sharma and is headquartered in Noida, Uttar Pradesh.

Its investors include Softbank, Ant Financial, AGH Holdings, SAIF Partners, Berkshire Hathaway,
T Rowe Price, and Discovery Capital.

About Paytm Mall:
Paytm Mall was started in 2017 and within a few years of its launch it has become one of the largest e-commerce companies in the country.

We operate on a marketplace model and are funded by some of the world’s largest investors such as Softbank, SAIF Partners and eBay.

Paytm Mall has recently moved to Bangalore and we are looking forward to tapping into the talent pool the city offers.

We are planning to hire passionate individuals who would be a part of the journey of creating one of India’s largest ecommerce companies
Job brief
We are looking for an experienced data engineer to join our team.

You will use various methods to transform raw data into useful data systems.

For example, you’ll create algorithms and conduct statistical analysis.

Overall, you’ll strive for efficiency by aligning data systems with business goals.

To succeed in this data engineering position, you should have strong analytical skills and the ability to combine data from different sources.

Data engineer skills also include familiarity with several programming languages and knowledge of learning machine methods.

If you are detail-oriented, with excellent organizational skills and experience in this field, we’d like to hear from you.

Responsibilities Analyze and organize raw data Build data systems and pipelines Evaluate business needs and objectives Interpret trends and patterns Conduct complex data analysis and report on results Prepare data for prescriptive and predictive modeling Build algorithms and prototypes Combine raw information from different sources Explore ways to enhance data quality and reliability Identify

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