MakeMyTrip is Hiring for Data Engineer

Job Overview

MakeMyTrip is seeking a Data Engineer to join their technology team, focused on providing exceptional travel experiences through innovative use of data and machine learning. The role involves building scalable data services, developing production-grade data pipelines, and implementing machine learning models that serve millions of users. This position offers an opportunity to solve challenging problems like personalizing customer experiences, scaling infrastructure, and supporting business growth in a fast-paced travel technology ecosystem.

Job Details

Company: MakeMyTrip (MMT)
Role: Data Engineer
Qualification: Bachelor’s or Master’s in Computer Science, Information Systems, or related field
Location: India (Location not specified)
Job Type: Full-Time
Salary: Not disclosed (industry estimate ₹10 – 25 LPA)

About MakeMyTrip

MakeMyTrip is India’s leading online travel company that provides comprehensive travel services including flight and hotel bookings, holiday packages, rail and bus tickets, and travel insurance. Driven by a passion for technology and innovation, MMT aims to continuously redefine travel experiences by delivering customer-centric solutions through big data and machine learning. The company fosters a collaborative, inclusive, and growth-oriented environment where creativity thrives.

Key Responsibilities

  1. Accurately estimate and implement machine learning models for production use.
  2. Build feature engineering pipelines integrating data from various sources.
  3. Develop and deploy scalable production data pipelines (both batch and real-time).
  4. Architect data services consumed by millions of users.
  5. Implement performance optimization strategies for big data systems.
  6. Handle distributed systems software development and integration.
  7. Optimize data loading and data retrieval processes.
  8. Work with Spark and Kafka for data processing and streaming.
  9. Design robust solutions for data scalability and reliability.
  10. Work with AWS deployment tools for cloud infrastructure.
  11. Utilize Docker and Kubernetes for containerization and orchestration.
  12. Collaborate with cross-functional teams to understand data requirements.
  13. Ensure production readiness and fault tolerance of data solutions.
  14. Maintain high code quality and adherence to best practices.
  15. Participate in continuous improvement initiatives and technical innovation.
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Skills & Requirements

  • Strong experience in distributed systems software development.
  • Production experience in big data infrastructure and data modeling.
  • Expertise in performance optimization for large-scale data systems.
  • Proficiency in Spark and Kafka technologies.
  • Knowledge of AWS deployment practices and services.
  • Hands-on experience with Docker and Kubernetes.
  • Strong programming skills in languages such as Python, Java, or Scala.
  • Analytical mindset with problem-solving ability.
  • Excellent communication and collaboration skills.
  • Ability to work in a fast-paced, dynamic environment.

Why Join MakeMyTrip?

  1. Work on challenging, real-world data problems in the travel industry.
  2. Build scalable systems that impact millions of users globally.
  3. Work in an innovative and data-driven culture.
  4. Learn from experts and develop in a tech-forward environment.
  5. Contribute to customer-centric solutions that shape the future of travel.
  6. Collaborate across diverse and talented teams.
  7. Access continuous learning and development opportunities.
  8. Be part of a company committed to sustainability and responsible business practices.
  9. Work with cutting-edge technologies (Big Data, Cloud, ML).
  10. Enjoy a healthy work-life balance with flexible policies.
  11. Gain hands-on experience with large-scale distributed architectures.
  12. Work in an inclusive and high-performance culture.
  13. Opportunity to grow and explore leadership roles.
  14. Benefit from unlimited workplace benefits.
  15. Play an active role in making travel smarter and more personalized.

Important Links

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