Data Engineer

Sabre is a global leader in innovative technology powering the travel industry. We are looking for a Senior Software Engineer Automation who is passionate about building scalable, high-quality automation solutions for modern data platforms. This role is ideal for someone with strong expertise in backend and data engineering automation , particularly with Python, PySpark, and BigQuery . While there is some exposure to UI automation using Playwright, the primary focus will be on data, backend, and API automation . Key Responsibilities Automation & Framework Development Design and develop scalable automation frameworks for backend systems and data pipelines Build automation solutions using Python and PySpark for large-scale data validation Develop reusable components for data quality, schema validation, and regression testing Data & BigQuery Testing Write and optimize complex SQL queries in BigQuery Validate ETL/ELT pipelines and data transformations Perform large-scale data validation and reconciliation Ensure high data quality (accuracy, completeness, consistency) Backend & API Automation Automate REST API testing using Python-based frameworks Validate business logic, integrations, and service contracts Build end-to-end regression suites for backend systems UI Automation (Secondary) Develop automated UI test scripts using Playwright Validate critical user journeys and workflows CI/CD & DevOps Integrate automation into CI/CD pipelines Enable automated testing for releases and deployments Work closely with DevOps for test environments and execution Collaboration & Quality Engineering Work with cross-functional teams (Data, Backend, Product) Participate in requirement reviews and test planning Mentor junior engineers and drive best practices Must-Have Skills Strong programming skills in Python Hands-on experience with PySpark Strong expertise in Google BigQuery (SQL, data validation, optimization) Experience with ETL/ELT testing and data pipeline validation Experience in API automation and backend testing Knowledge of data warehousing and distributed systems Familiarity with CI/CD and Git workflows Good-to-Have Skills Experience with Playwright (UI automation) Exposure to GCP cloud environment Experience with data quality frameworks and reconciliation techniques Knowledge of containerization (Docker/Kubernetes) Qualifications Bachelors degree in Computer Science or related field 68 years of experience in software engineering with a focus on automation Experience working on data platforms or large-scale systems is preferred Why Join Us? Work on large-scale, cloud-native data platforms Opportunity to solve complex data and automation challenges Collaborative and innovation-driven environment Exposure to cutting-edge technologies in cloud and data engineering