Data Engineer

Job description

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