Senior Principal Data Engineer

MakeMyTrip

Gurugram District

On-site

INR 2,500,000 - 3,500,000

Full time

14 days+

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Job summary

A leading online travel company is seeking a Senior Principal Data Engineer to innovate machine-learning powered Data Products. This role involves developing platforms for data processing and storage, crafting personalized data solutions, and leading technology direction. Ideal candidates should possess 10-12 years of expertise in data engineering, specifically with big data architecture, Spark, and cloud technologies. This is a full-time position based in Gurugram.

Qualifications

10-12 years of experience in data engineering.
Extensive experience with big data architecture and data modeling.
Hands-on experience with Spark and cloud platforms.

Responsibilities

Develop and maintain data capture, storage, and processing platforms.
Create data products including personalization and recommendation platforms.
Architect domain-centric big data solutions and provide technology leadership.

Skills

Big Data technologies

Spark

Scala

Data modeling

Spark Structured Streaming

Cloud deployment (AWS/Azure/GCP)

Problem-solving

Job description

Join to apply for the Senior Principal Data Engineer role at MakeMyTrip.

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

Role Details

Role: Senior Principal Data Engineer
Level: RL6
Location: Gurugram
Years of Experience: 10-12 Years

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.

Responsibilities

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 6+ 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 6+ years of experience in 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

Seniority level