Job Description
About Us:
MobiKwik is India's largest independent mobile payments network connecting 107 million users with
more than 3 million direct merchants. It enables users to discover retailers (brick-and-mortar stores,
e-com websites, m-com apps, billers, telcos) and then start paying them with 1-tap. MobiKwik is
powering payments for IRCTC, Uber, Meru Cabs, Shuttl, Big Bazaar, OYO Rooms, Zomato, Barista,
PVR, Archies, WHSmith India, BookMyShow, Grofers, Big Basket, Domino's, Pizza Hut, eBay,
ShopClues, Myntra, Jabong, Pepperfry, GoDaddy, MakeMyTrip, Cleartrip, and Yatra.
The company has raised funding from Sequoia Capital, American Express, Tree Line Asia, and Cisco
Investments. With MobiKwik, users load money into the wallet once using cash, loyalty points, debit
card, credit card, and net banking to make secure 1-tap payments for online or offline purchases.
Most MobiKwik users make 10-12 purchases every month using their wallet balance across diverse
use cases such as recharge, bills, food, grocery, travel & cabs, shopping, entertainment, etc.
Users can also make bank to bank transfers via UPI to friends and family using MobiKwik. Users
today enjoy MobiKwik wallet services on Android, Windows, and iOS mobile applications and on
MobiKwik.com. MobiKwik aspires to be the largest source of digital transactions in India
To know more about what we are building next, have a read on this website:
https://blog.mobikwik.com/index.php/half-yearly-report-2020/
Role- Data Engineer
Responsibilities:
The role requires a hands-on technologist with experience in Big data, Hadoop, databases, MDM.
As data engineering practitioner, you should have an understanding of build vs. buy,
performance considerations, hosting, business intelligence, reporting & analytics. Requirements :-
Experience within the field of data engineeringFamiliar with data architecture including data ingestionExperience in configuring, maintaining production and development Hadoop ClustersExperience in creating Hive tables, loading with data and writing Hive queriesExperienced in computation frameworks like Spark, Storm, Flink using Java/Python/Scala.-
Well versed with streaming data processing using Kafka, Spark Streaming, Storm etc.-
Well versed with pros and cons of various database technologies like Relational, NO SQL,
Columnar databases.
Experienced in multi-dimensional modeling like start schema, snowflakes, normalized and
denormalized models.
