Company Name:-
Myntra.com

Job Location:-
Bengaluru, Karnataka

Job Summary:-
Myntra’s Engineering team builds the technology platform that empowers our customers’

shopping experience and enables the smooth flow of products from suppliers to our customers’

doorsteps.

We work on areas such as building massive-scale web-applications, engaging userinterfaces, big-data analytics, mobile apps, workflow systems, inventory-management etc.

We

are a small technology team where each individual has a huge impact.

You will have the

opportunity to be part of a rapidly growing organization and gain exposure to all the parts of a

comprehensive ecommerce platform

You will be part of: Analytics
Data is the lifeblood of e-commerce businesses and this is the team that manages all the

company’s ata.

The team has built a Big Data Platform to ingest data from a variety of data

sources, standardize metrics and build data & analytics products .

If you are interested in the fast

growing field of big data and analytics, and want to work on big data engineering, building data

visualization products and build analytical models (Insights) to power business decisions, then

this is the team for you.

You will get to work on managing large data stores (both relational data-warehouses as well as

non-relational stores like HDFS) and learn about how to build mammoth-scale event collection

and processing systems.

You will also learn a lot of the business, as this team is also responsible

for calculating all the key business metrics for each team.

The team uses Kafka, Spark, Scala,

Java, RedShift, MemSQL, AeroSpike, Python, R, as well as web technologies (nodejs, react) for

building data & analytics products.

Your Responsibilities:
Displays structured problem solving, application of right tools & techniques to solve

open ended problems, Creates productized analytics solutions or frameworks

independently.

Understand Business problems and come up with data driven tech solutions.

Root cause analysis and Deep dive analysis of certain business problems using Machine

Learning techniques.

Data integration and building a data warehouse for automating the Business Intelligence

system
Running and maintaining the reporting system, presenting insights at a weekly forum
Building templates, dashboards in

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