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
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