Data Engineer - II at Expedia in India - Gurgaon

Job description

• At Expedia Group, we help travelers explore the world, one journey at a time. As a global travel company powered by passionate people, trusted partnerships, and leading technology, we connect travelers, partners, and advertisers through our consumer brands, B2B network, and travel advertising business.
• Here, you'll do meaningful work that helps millions of people discover, book, and experience travel with more ease, confidence, and joy. Our five Behaviors-Traveler First, Think Big, Operate with Excellence, Ownership Mindset, and Succeed Together-help foster a supportive environment where people can grow their careers and have the flexibility, benefits, and support to do their best work. Join us and build for travelers everywhere.
• The Global Finance Technology (GFT) team at Expedia Group builds and operates the data systems that power financial
• reporting, revenue recognition, compliance, and cost intelligence across all EG brands and lines of business. Our pipelines
• process high-value financial events — bookings, cancellations, refunds, supplier settlements, and inter-company
• transactions — with the accuracy, auditability, and timeliness that finance, regulatory, and executive stakeholders depend
• on.
• As a Data Engineer II on the GFT Data Engineering team, you will contribute to the data foundations that underpin EG's
• financial data platform. You'll build and maintain reliable ETL/ELT pipelines that ingest, transform, and model financial data
• — from point-of-sale transaction events through to outputs consumed by Finance, Accounting, Tax, and Treasury teams
• globally. Working alongside senior engineers, you'll grow your expertise in financial data patterns, data quality, and
• observability while delivering pipelines that meet the high accuracy standards financial systems demand

Responsibilities

• Build, maintain, and enhance reliable data pipelines and services that support financial reporting, revenue
• recognition, cost allocation, and compliance workflows across EG brands and legal entities.
• ● Develop and maintain batch and near-real-time data processing solutions using PySpark and Apache Airflow —
• including financial data modelling and schema management — to support downstream consumers such as General
• Ledger systems, Finance dashboards, and regulatory reporting tools.
• ● Implement data quality checks, reconciliation validations, and monitoring practices — using Splunk and Datadog —
• to ensure the accuracy, completeness, and auditability of financial data across EG's data lakehouse (Apache
• Iceberg / Hive / S3).
• ● Collaborate with senior data engineers, Finance Technology engineers, financial analysts, and data scientists to
• translate business and regulatory requirements into well-implemented data solutions with clearly documented
• data contracts.
• ● Follow and contribute to engineering best practices for performance, reliability, and cost efficiency — including
• testing, CI/CD, deployment automation via GitHub Actions and Spinnaker, access controls, PII handling, and
• operational runbooks for financial data systems.
• ● Develop familiarity with AI/ML-enabled solutions that improve financial data outcomes, including exposure to AI-
• driven anomaly detection or automated reconciliation tooling, and learn to apply AI/ML concepts to financial data
• products at Expedia Group under established guidelines

Requirements

• Bachelor's degree in Computer Science, Information Systems, Finance Technology, or a related technical field; or
• equivalent related professional experience.
• ● 3+ years of relevant professional experience in data engineering or a closely related discipline.
• ● Proficiency in Python (PySpark) for data engineering, along with solid SQL skills and foundational understanding of
• data modelling for analytical and operational use cases.
• ● Hands-on experience with data processing frameworks and storage technologies — such as Apache Spark, Airflow,
• Hive, and S3 — with a willingness to take ownership of the reliability and accuracy of the data pipelines you build.
• ● Basic awareness of data governance, access controls, and auditability considerations relevant to financial or
• transactional data systems, and openness to learning how AI/ML concepts apply to real-world financial data
• products.
• Some exposure to financial, transactional, or compliance-sensitive data environments — such as revenue data,
• billing systems, payment processing, or accounting data pipelines — even in a supporting or contributing role.
• ● Experience maintaining data systems in production — including basic performance tuning, monitoring, and alerting
• — and a track record of taking responsibility for pipeline quality and reliability.
• ● Demonstrated ability to work collaboratively within a team on data engineering patterns, incorporate code review
• feedback constructively, and contribute to shared documentation and runbooks.
• ● Familiarity with data quality practices and an interest in applying metrics and data-driven insights to improve
• pipeline reliability and the trustworthiness of financial data consumed by business stakeholders.
• ● Exposure to AI/ML concepts or tooling — such as anomaly detection, data validation automation, or intelligent
• monitoring — and curiosity about applying these to finance-domain data engineering challenges at Expedia Group.

Skills

Required

• Solid SQL skills
• Openness to learning AI/ML concepts

Preferred

• Familiarity with data quality practices