Data Engineer - II

Expedia Group; Gurgaon; On-site; INR 1,500,000 - 2,500,000; Full time

Job summary

Expedia Group’s Global Finance Technology (GFT) team is hiring a Data Engineer II to build reliable ETL/ELT pipelines that ingest and model financial data for multiple brands globally.

You'll work with PySpark, Airflow, and data quality checks, collaborating with finance stakeholders to deliver accurate, auditable data products in a cost-efficient, scalable way from the data lakehouse.

Qualifications

• 3+ years of relevant professional experience in data engineering.
• Proficiency in Python (PySpark) for data engineering, along with SQL and data modelling knowledge.
• Hands-on experience with data processing frameworks and storage technologies — Apache Spark, Airflow, Hive, and S3.
• Basic awareness of data governance and auditability considerations, and openness to AI/ML concepts.

Responsibilities

• Build, maintain, and enhance data pipelines and services supporting financial reporting, revenue recognition, cost allocation, and compliance.
• Develop batch and near-real-time data processing solutions using PySpark and Airflow for downstream systems like General Ledger and dashboards.
• Implement data quality checks, reconciliation validations, and monitoring using Splunk and Datadog for data lakehouse accuracy and auditability.
• Collaborate with senior engineers, finance technologists, analysts, and data scientists to translate requirements into robust data solutions.
• Follow engineering best practices including CI/CD, testing, deployment automation, access controls, and runbooks.

Skills

Python

SQL

Data modelling

CI/CD

Spark

Airflow

Hive

S3

GitHub Actions

Spinnaker

Education

Bachelor's degree

Tools

PySpark

Spark

Airflow

Hive

S3

GitHub Actions

Spinnaker

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.

Introduction to the team:

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.

In this role, you will:

• 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.

Minimum Qualifications:

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.

Preferred Qualifications:

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.

Accommodation requests

Expedia Group is committed to providing an inclusive and accessible recruiting experience. If you need an accommodation or adjustment due to a disability during the application or recruiting process, please submit a request at https://expedia.service-now.com/askeg?id=job_accommodation.

About Expedia Group

Expedia Group includes three flagship consumer brands - Expedia, Hotels.com, and Vrbo - along with a leading B2B travel business and travel advertising offerings. Across our brands and business, we help travelers explore the world with confidence and ease.

Equal Opportunity

Expedia is committed to creating an inclusive work environment with a diverse workforce. All qualified applicants will receive consideration for employment without regard to race, religion, gender, sexual orientation, national origin, disability or age.