Live opening · Posted 18 days ago

Principal Data Engineer

MakeMyTrip · Bangalore | Delhi | Gurgaon
Instahyre 8-12 yrs
You are 18 days behind. JobBeeper subscribers saw this role while it was still new.

At a glance

The key details from the original listing.

Posted 18 days ago
CompanyMakeMyTrip
LocationBangalore | Delhi | Gurgaon
Experience8-12 yrs
SourceInstahyre
Listed18 days ago

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About the role

Description supplied by the original job listing.

We are looking for experienced Data engineers with excellent problem-solving skills to develop machine-learning-powered Data Products designed to enhance customer experiences. Data Platform Team is a horizontal function at MakeMyTrip to support various LOBs (Flights, Hotels, Holidays, Ground) and works heavily on streaming datasets, which power personalized experiences for every customer from recommendations to in-location engagement.
Responsibilities:
Develop the platform for data capture, storage, processing, serving, and querying.
Develop data products including personalization and recommendation platform, customer segmentation and 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.
Requirements:
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/Big Data 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, and 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, NoSQL, 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 and direction.
Excellent problem-solving, hands-on engineering, and communication skills.

Experience
8-12 yrs

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