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Data Engineer

Experience: 4 - 8 yrs

APPLY
Spark StreamingKafkaNoSQLScala/JavaMongo DB / HDFS / HBASE

Our Purpose and Challenges

With over 47% market-share, MakeMyTrip is India’s first and biggest travel company. In fact, one in every four passengers at an airport is our customer. Driven by the desire to provide an exceptional travel experience for our customers, we have continuously stayed ahead of the curve by developing technology and products to meet the ever-changing demands of the rapidly evolving travel ecosystem.

We are currently solving multiple challenging problems, including -
  • How to bring the next 100 million users to our platform?
  • How to leverage customer insights to create a truly personalised experience for users?
  • How to create a delightful experience for our users, to make travel synonymous to MMT?

If this excites you, join us for a rewarding, fulfilling and enriching career.

“Not only do we make the best trips for our customers, we also promise the trip of a lifetime to our employees! Everyday, our teams solve challenging problems for millions of users by leveraging the latest technology, while having loads of fun. Every day is a new trip for them, and that is precisely why we call them Trippers!”

- Sanjay Mohan, Group CTO, MakeMyTrip

About the opportunity

What you’ll be doing
  • You accurately estimate and implement machine learning models on 1.8 TB of data volume generated every day
  • You will build pipelines for feature engineering by integrating data from different data sources.
  • You’ll meticulously develop and deploy production data pipelines (batch + real time).
  • You architect and design scalable data services that are consumed by millions of users.
  • You will skillfully implement performance engineering of big data systems.
 
What you’ll bring to the team:
  • You’ll bring the compulsory and essential experience of working with distributed systems software development.
  • You’ll bring demonstrated experience of production experience in big data infrastructure and data modeling.
  • You’ll bring critical experience performance optimization for both data loading and data retrieval.
  • You have know-how of Spark/Kafka.
  • You have invaluable knowledge in AWS Deployment, Docker and Kubernetes.

Interview Process & Prep Notes

  1. Coding Assessment

    Basic Coding,Spark,Kafka,MySQL,Streaming,Cassandra
    You should be very well versed in building and designing large scale applications. Understand the pros and cons of using relational and noSQL databases. Know how to design effective pipelines for both batch and streaming use cases.

  2. Data Structure And Problem Solving

    Array,LinkedList, Stack, Binary Tree, Hash Tables, Heap
    Like every invention has a necessity, engineering at MMT also has one. Data structures and Algorithms have stood the test of time and have helped us solve our daily engineering problems. Binary Tree, Linked List, Algorithm Design, Dynamic Programming, Graphs are our best friends.

  3. Simulation Exercise

    Coding Assessment, Data Ingestion And Processing
    An effective data ingestion process begins by prioritizing data sources, validating individual files and routing data items to the correct destination. Your experience as a data engineering is crucial for this round. Be prepared to answer some simulation-based questions during our interviews. From system design for an e-commerce platform to component interaction.

  4. Team Fitment

    Behavioural Assessment, Culture Fit, Project Knowledge, Role Operation
    Be yourself. It works out better for everyone if we're genuine and can see if we're a cultural fit for each other. Everyone here is focused on our mission, so you should figure out what it is.

Learning & Growth

All Trippers get instant access to learning academies, e-learning portals like Udemy, Codeacademy etc, education loans, sponsorship for conferences, skill development programs, and much more. Not to mention the incredible learning opportunity you will undoubtedly receive from working with leaders and colleagues that are at the top of their game!

Learning Academies

Continuous Education Scheme

Conferences

Peer Learning

Values

  1. live_help

    Curious

  2. center_focus_strong

    Customer focus

  3. sentiment_satisfied_alt

    Caring

  4. palette

    Creative

  5. trending_up

    Continuous Improvement

  6. insert_chart_outlined

    Commitment to results

Location

Makemytrip - Gurgaon
Floor 19, Tower (A, B & C), DLF Building No. 5, DLF Cyber City, DLF Phase 2, Sector 24, Gurugram, Haryana 122022

Makemytrip - Bangalore
2nd Floor, Landmark building, Divyasree technopolis, 132, Kariyammana Agrahara Rd, Marathahalli Village, Marathahalli, Bengaluru, Karnataka 560037

If this excites you, Apply for this opportunity!

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Leadership

Sanjay Mohan

Group CTO, MakeMyTrip

With extensive engineering leadership experience in established firms as well as startup/incubation setup, Sanjay brings over 20 years of solid, technical/managerial experience, across US and India geography.

Madhu Gopinathan

VP Engineering

Madhu has extensive experience in developing large scale systems using machine learning and natural language processing in both USA and India. He has been granted multiple US patents, holds a PhD in the mathematical modeling of systems from the IISc, Bangalore and an MS in computer science from the University of Florida, USA.

Piyush Kumar

Director Engineering

Serving as director of data engineering for MMT with over a decade of experience in building large-scale high-performance systems and architecting data products, Piyush is currently leading key strategic initiatives in data products for personalisation, customer segmentation and developing engagement platform over BigData systems.

Abhineet Verma

Principal Data Engineer

As a principal data engineer, Abhineet is responsible for solutions of analytical problems across multiple business domain with expertise in Kafka, Spark, Cassandra and data analytics. Prior to this, he worked as a senior big data developer in building real-time processing platforms at Amadeus Software Labs and Fractal Analytics.

Himanshu Patidar

Principal Data Engineer

Himanshu has over 6+ years of experience in software engineering, both at large companies and multiple startups. He has successfully built intelligent data platforms, petabyte scale big data on-premise platforms, large data warehouses on AWS and multiple enterprise applications.

Sulabh Grover

Lead Data Engineer

With 8+ years of relevant experience in data engineering, Sulabh has experience in Cassandra, Kafka, RabbitMQ, Hadoop, Apache Storm, Apache Spark and AWS with strong problem solving expertise in batch and real time data processing.

People in the team come from companies like

Microsoft
Amazon
Flipkart
Ola
Swiggy
Linkedin
Walmart
Myntra
Uber

MMT – A Great Place to Work!

Top 25 companies to work - LinkedIn

The Top Companies list is based on the billions of actions taken by LinkedIn members and looks at four main pillars: interest in the company, engagement with the companys employees, job demand and employee retention.

MakeMyTrip ranks among one of the Best Companies to Work

MakeMyTrip, an online travel agent has been awarded as one of the Best Companies to Work In and is the highest ranked e-commerce company in the rankings by Great Place to Work Institute in Mumbai in partnership with The Economic Times.

Top Benefits

  1. Open leave policy

  2. Flexi working

  3. Stock options

  4. Team Offsites

  5. Own Your Car Program

  6. Life Insurance

  7. Maternity / Paternity Benefit

  8. Comprehensive Insurance Benefits for Self and Family

  9. Holidays at Attractive Prices

  10. Volunteer at MMT Foundation

Culture @ MMT

MakeMyTrip - The Way we work!

Our purpose guides our decisions, and our values guide our behaviour. Get an inside peek into our culture. #DilToRoamingHai

Careers at MakeMyTrip!

We build best-in-class technology enabled travel products that are seamless, fun and exciting. And all this happens in a cheerful environment. There is never a dull moment in MakeMyTrip.

Diversity at MakeMyTrip

At MakeMytrip, We believe the more we mirror consumers by their diversity, the better positioned we are to make better decisions, produce more innovative solutions, and achieve substantially greater market results.

Thoughts & Experiments

Data Capture Layer @ MakeMyTrip

Data Capture Layer @ MakeMyTrip

In today’s tech world DATA is fuel for an eCommerce company to run. It is analyzed to improve customer experience with personalization, to get insights into the business & to increase sales.
Hotel Price Recommendation @ MMT

Hotel Price Recommendation @ MMT

Dynamic Pricing is a strategy where prices change real-time considering supply, demand, need, user-behaviour. Dynamic Price Optimisation Models are used to tailor pricing for customer segments ...
BoulderDB: MakeMyTrip's Personalization User Data Store

BoulderDB: MakeMyTrip's Personalization User Data Store

At MakeMyTrip, we have verticals in the form of line of Businesses (LOBs) and horizontal capabilities such as Data Platform Team (DPT). DPT plays a significant role in developing ...

Download and get set to jet to a new location

Call us selfish - but we really appreciate people who book travel on MakeMyTrip. This will give us a lot to talk about during our meeting. Book travel here and will also get to learn a lot from the comments and ratings, what is working and where can we improve and be better. Feel free to ask us questions! We will be happy to answer anything.

Location

Makemytrip - Gurgaon
Floor 19, Tower (A, B & C), DLF Building No. 5, DLF Cyber City, DLF Phase 2, Sector 24, Gurugram, Haryana 122022

Makemytrip - Bangalore
2nd Floor, Landmark building, Divyasree technopolis, 132, Kariyammana Agrahara Rd, Marathahalli Village, Marathahalli, Bengaluru, Karnataka 560037

If this excites you, Apply for this opportunity!

Upload Resume