Senior Data Engineer II

Role: Senior Data Engineer – II

Level: RL3

Location: Bangalore

Years of Experience: 4-6 Years

About The Function

At MakeMyTrip (MMT), technology is at the heart of everything we do. As a leading player in the travel industry, we leverage cutting-edge solutions like AI, machine learning, and cloud infrastructure to create seamless and innovative travel experiences. We prioritize a tech-first mindset, where our engineering teams lead the charge in transforming the way people travel.

Our culture encourages collaboration, creativity, and thought leadership, empowering engineers to challenge the status quo and develop impactful, game-changing solutions. At MMT, you'll work with the latest technologies, continually push boundaries, and have the chance to shape the future of travel.

Join us and become part of a forward-thinking, tech-driven organization that thrives on innovation and continuous learning.

About Role

We are looking for experienced Data engineers with excellent problem-solving skills to develop machine-learning powered Data Products design to enhance customer experiences.

About The Team

MakeMyTrip as India’s leading online travel company and provides petabytes of raw data which is helpful for business growth, analytical and machine learning needs.

Data Platform Team is a horizontal function at MakeMyTrip to support various LOBs (Flights, Hotels, Holidays, Ground) and works heavily on streaming datasets which powers personalized experiences for every customer from recommendations to in-location engagement.

There Are Two Key Responsibilities Of Data Engineering Team

• One to develop the platform for data capture, storage, processing, serving and querying.
• Second is to develop data products starting from;
• personalization & recommendation platform
• customer segmentation & intelligence
• data insights engine for persuasions and
• the customer engagement platform to help marketers craft contextual and personalized campaigns over multi-channel communications to users
  
  

We developed Feature Store, an internal unified data analytics platform that helps us to build reliable data pipelines, simplify featurization and accelerate model training. This enabled us to enjoy actionable insights into what customers want, at scale, and to drive richer, personalized online experiences.

Technology Experience

• Extensive experience working with large data sets with hands-on technology skills to design and build robust data architecture
• Extensive experience in data modeling and database design
• At least 4+ years of hands-on experience in Spark/BigData Tech stack
• Stream processing engines – Spark Structured Streaming/Flink
• Analytical processing on Big Data using Spark
• At least 4+ years of experience in Java/Scala
• Hands-on administration, configuration management, monitoring, performance tuning of Spark workloads, Distributed platforms, and JVM based systems
• At least 2+ years of cloud deployment experience – AWS | Azure | Google Cloud Platform
• At least 2+ product deployments of big data technologies – Business Data Lake, NoSQL databases etc
• Awareness and decision making ability to choose among various big data, no sql, and analytics tools and technologies
• Should have experience in architecting and implementing domain centric big data solutions
• Ability to frame architectural decisions and provide technology leadership & direction
• Excellent problem solving, hands-on engineering, and communication skills