TBO.COM
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Travel Agencies · 1001 to 5000 Employees · Gurgaon, India
TBO is a global platform that aims to simplify all the buying and selling travel needs of travel partners across the world. Our proprietary technology platform seamlessly connects highly distributed travel buyers and suppliers at scale, addressing the demands of the complex global travel industry. The TBO journey began in 2006 with a simple goal: to address the evolving needs of travel buyers and suppliers. What started as a single-product air ticketing company has today become the leading B2A (Business to Agents) travel portal across the Americas, UK & Europe, Africa, the Middle East, India, and the Asia Pacific. Today, TBO’s product range includes air, hotels, rail, holiday packages, car rentals, transfers, sightseeing, cruises, and cargo. TBO’s approach has always been technology-first, and we continue to invest in new innovations and offerings to make travel easy and simple. Additionally, TBO is publicly listed on the BSE and NSE in India, marking a significant milestone in our growth journey.
Hiring: Engineering
What employees say
+ Good company good culture good projects
− Attendance croos team dependency and reviews
More reviews on the company profile.
Interview experience · SWE Intern
It was on campus process. First OA which comprised of leetcode style 5 questions then there were 4 interview rounds. 1st round was dsa + core subject, in the second round advanced data structures and resume walkthrough,
Average difficulty · India · 53 reports
More interview insightsJob description
Overview
We are looking for a highly skilled Senior Engineer, Data Science & Engineering with 5–8 years of experience in Data Engineering, Data Science, and Artificial Intelligence.
Responsibilities
- We are looking for a highly skilled Senior Engineer, Data Science & Engineering with 5–8 years of
- experience in Data Engineering, Data Science, and Artificial Intelligence. The ideal candidate will have strong expertise in designing scalable data platforms, building AI/ML solutions, and implementing cloud-native architectures on AWS. You will work closely with business stakeholders and engineering teams to deliver data-driven solutions that power analytics and intelligent applications.
- Design, develop, and maintain scalable data pipelines using modern data engineering frameworks.
- Build and optimize ETL/ELT workflows for batch and real-time data processing.
- Build AI/ML and Generative AI applications using modern LLM frameworks.
- Develop production-grade machine learning pipelines for model training, deployment, and monitoring.
- Design and implement data models for reporting, analytics, and AI workloads.
- Implement data quality, governance, observability, and monitoring frameworks.
- Integrate data from multiple internal and external sources using APIs, Kafka, and CDC pipelines.
- Collaborate with cross-functional teams to understand business requirements and translate them into scalable technical solutions.
- Leverage statistical methods, experimentation, and machine learning to analyze business data, validate hypotheses, and deliver predictive and prescriptive insights.
Qualifications
- Bachelor’s or Master’s degree in Computer Science, Engineering, Data Science, or a related field.
- 5–8 years of experience in Data Engineering, Data Science & AI.
- Strong programming skills in Python and SQL.
- Hands-on experience with Apache Spark and distributed data processing.
- Strong experience with AWS services such as S3, Glue, EMR, Lambda, Athena, Redshift, IAM, CloudWatch, Step Functions, ECS/EKS, and DynamoDB.
- Hands-on experience with Spark ETL, Apache Kafka and Change Data Capture (CDC) pipelines.
- Strong understanding of supervised and unsupervised learning techniques, Classification, Regression, Clustering, Dimensionality Reduction Ensemble methods (Random Forest, XGBoost, LightGBM, CatBoost)
- Probability and statistics, Hypothesis testing and confidence intervals, Experimental design and A/B testing
- Strong analytical, problem-solving, and communication skills.
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