About Us
Data Engineering Jobs India are at the core of innovation in travel technology, and Expedia Group is leading this revolution. As a global travel platform, Expedia Group powers some of the world’s largest brands including Expedia®, Hotels.com®, Vrbo®, trivago®, Orbitz®, Travelocity®, and Hotwire®. With operations spanning over 60 countries, we serve millions of travelers and partners worldwide.
At Expedia Group, our culture emphasizes inclusivity, innovation, and collaboration. We foster an environment where employees can grow professionally while contributing to transformative travel experiences. By joining our team, you will work with some of the most talented engineers, data scientists, and product managers in the industry. Our Marketing Data Engineering team is focused on enabling data-driven growth and experimentation, making Expedia a great place for anyone interested in Data Engineering Jobs India.
Why Freshers Should Apply for Data Engineering Jobs India at Expedia Group
Freshers looking for Data Engineering Jobs India will find Expedia Group an excellent starting point for their career. The company provides hands-on exposure to scalable cloud data systems, real-world datasets, and cross-functional collaboration. Fresh graduates gain mentorship, career development resources, and an opportunity to work on high-impact projects.
Expedia Group believes in nurturing talent. New hires can contribute to data pipelines supporting marketing, advertising, and experimentation initiatives. They can also learn advanced data engineering practices, cloud infrastructure, and modern software engineering principles. For those eager to grow in Data Engineering Jobs India, Expedia Group offers a fast-paced, challenging, and rewarding environment.
Job Details
Job Title: Data Engineer II
Job ID: R-97590
Location: Bangalore, Karnataka (Hybrid)
Employment Type: Full-Time
Batch: 2023-2025
Experience: 0–2 years (or Master’s graduates)
Salary: As per industry standards
Qualification: Bachelor’s or Master’s degree in Computer Science, Engineering, or a related technical field
Certifications: Optional – ISTQB, PMP, or relevant data certifications
Key Responsibilities
Design, develop, and maintain production-grade batch and streaming data pipelines for marketing and advertising use cases.
Implement scalable data processing solutions in cloud environments such as AWS, GCP, or Azure.
Collaborate with product managers, analysts, and data scientists to translate business requirements into technical solutions.
Write clean, modular, and testable code using Python, Scala, or Java.
Contribute to team-owned data products that serve downstream consumers across analytics, reporting, and machine learning platforms.
Debug and resolve data quality issues, bottlenecks, and performance constraints in complex systems.
Proactively identify areas for technical and process improvements, participating in agile development and continuous delivery.
Engage in knowledge sharing, code reviews, and team retrospectives to foster team growth and collaboration.
Required Skills
Proficiency in Python, Java, or Scala programming languages.
Strong experience in data processing frameworks like Apache Spark, Kafka, or Airflow.
Solid SQL knowledge and familiarity with both traditional RDBMS and distributed data storage systems.
Understanding of batch vs. streaming processing and modern data architectures.
Experience in cloud platforms (AWS, GCP, Azure) and production environment deployments.
Familiarity with testing, monitoring, and alerting as part of reliable system design.
Excellent problem-solving, communication, and teamwork skills.
Ability to work in an agile, collaborative environment and explain technical trade-offs to non-technical stakeholders.
Preferred Skills
Exposure to data warehousing and ETL design.
Knowledge of monitoring tools like Splunk or Datadog.
Familiarity with NoSQL databases and distributed systems.
Understanding of data governance, quality management, and observability.
Hands-on experience with machine learning platforms or data science pipelines.
Perks and Benefits
Competitive salary package aligned with industry standards.
Comprehensive health and wellness benefits including medical, dental, and vision coverage.
Generous paid time off and parental leave.
Flexible work model with hybrid options.
Learning and career development programs including mentorship, skill-building, and internal mobility opportunities.
Employee travel perks and discounts on Expedia Group products.
Inclusive, award-winning culture recognized by Glassdoor, Forbes, and TIME.
Why Join Us
Data Engineering Jobs India at Expedia Group allow you to work at the intersection of technology and travel. You will have the chance to design scalable data pipelines that impact millions of travelers worldwide. The company values collaboration, encourages innovation, and invests in the growth of its employees.
Expedia Group provides a supportive environment for early professionals and experienced engineers alike. With access to cutting-edge tools, diverse datasets, and complex challenges, you can accelerate your career while making a real impact. Join our team and contribute to shaping the future of travel while advancing your skills in Data Engineering Jobs India.
Building a Future with Data Engineering Jobs India at Expedia Group
Working at Expedia Group as a Data Engineer II means building the future of travel through data. You will develop, maintain, and optimize pipelines that support marketing, advertising, and experimentation. You will work with cutting-edge cloud technologies, modern data architectures, and cross-functional teams.
Our environment encourages continuous learning, innovation, and collaboration. By joining Expedia Group, you become part of a global network of experts working together to solve complex problems in Data Engineering Jobs India. Your contributions will directly impact business decisions, customer experiences, and the growth of Expedia’s global travel brands.
How to Apply
Ready to start your journey as a Data Engineer II at Expedia Group? Follow these simple steps to apply:
Prepare your updated resume.
Highlight your most relevant skills, projects, and achievements.
Click the “Apply Now” link below.
Complete the online application form.
Submit your application and await further communication from the recruitment team.
