Data Engineer - II

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