09 Oct
MakeMyTrip
Bengaluru
Position: Senior Data Engineer I / Senior Data Engineer IIExperience: Must have 4+ years of experience
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 us:Nurtured from the seed of a single great idea - to empower the traveler - MakeMyTrip went on to pioneer India’s online travel industry Founded in the year 2000 by Deep Kalra, MakeMyTrip has since transformed how India travels. One of our most memorable moments has been to ring the bell at NASDAQ in 2010.
Post-merger with the Ibibo group in 2017, we created a stronger identity and traction for our portfolio of brands,
increasing the pace of product and technology innovations. Ranked amongst the LinkedIn Top 25 companies 2018. GO-MMT is the corporate entity of three giants in the Online Travel Industry—Goibibo, MakeMyTrip and RedBus.
The GO-MMT family celebrates the compounded strengths of their brands. The group company is easily the most sought after corporate in the online travel industry. 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;o personalization & recommendation platformo customer segmentation & intelligenceo data insights engine for persuasions ando 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 PySpark/BigData Tech stack
Stream processing engines – Spark Structured StreamingAnalytical processing on Big Data using SparkAt least 4+ years of experience in Python/ScalaHands-on administration, configuration management, monitoring, performance tuning of Spark workloads, Distributed platforms, and JVM based systems
At least 4+ years of cloud deployment experience – AWS | Azure | Google Cloud PlatformAt least 4+ 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
▶️ Senior Data Engineer II
🖊️ MakeMyTrip
📍 Bengaluru