Senior Software Engineer (Automation)

External

Sabre · Bengaluru, India

ContractHybridToday

AgileBigQueryCI/CDClusteringData ModelingData Warehousing

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About the role

Sabre is the global leader in innovative technology that leads the travel industry. We are always looking for talented and driven engineers who are passionate about building scalable, cloud-native software solutions. If you enjoy solving complex technical problems, working with modern cloud technologies, and collaborating in Agile teams to deliver high-quality products-then Sabre is the place for you. We are seeking a Senior Software Engineer - Automation with 6-8 years of experience in backend and data engineering test automation. This role is ideal for an experienced automation engineer who has strong expertise in Python, PySpark, and BigQuery , and a deep understanding of data validation, ETL testing, and large-scale data platform quality engineering. While the role includes some UI automation using Playwright, it is predominantly focused on backend, API, and data pipeline automation . The ideal candidate should have strong programming skills, solid SQL expertise (especially BigQuery), and experience validating complex data engineering workflows in cloud environments. You will work closely with Data Engineers, Backend Engineers, Product Managers, and DevOps teams to ensure high data quality, reliability, scalability, and performance of modern data platforms.

Responsibilities

Automation Strategy & Framework Development

Design, develop, and maintain robust automation frameworks for backend systems and data pipelines.

Build scalable automation solutions using Python and PySpark for validating large datasets.

Develop automated validation suites for ETL/ELT pipelines and data transformations.

Create reusable libraries for data quality checks, schema validation, reconciliation, and regression testing.

Define automation best practices for data engineering quality assurance.

Data Engineering & BigQuery Testing

Write complex SQL queries in BigQuery for data validation, transformation verification, and reconciliation.

Validate data ingestion, transformation, aggregation, and reporting layers.

Perform large-scale data comparisons across systems and environments.

Ensure correctness of partitioned tables, clustered tables, and performance-optimized queries.

Validate data quality metrics such as completeness, consistency, accuracy, and timeliness.

Optimize test queries for performance and cost efficiency in BigQuery.

Backend & API Automation

Automate REST API testing using Python-based frameworks.

Validate business logic, data contracts, and service integrations.

Perform contract testing and integration testing for distributed systems.

Implement end-to-end automated regression suites for backend services.

UI Automation (Playwright)

Develop and maintain UI automation scripts using Playwright.

Automate critical user journeys and data-driven UI validation scenarios.

Integrate UI tests into CI/CD pipelines.

Ensure cross-browser automation coverage where required.

(Note: UI automation is a secondary responsibility; primary focus is backend and data automation.)

CI/CD & DevOps Integration

Integrate automation suites into CI/CD pipelines.

Enable automated test execution for pull requests, releases, and scheduled runs.

Work with DevOps teams to ensure reliable test environments and test data management.

Monitor automation results and improve test stability and coverage.

Quality Engineering & Collaboration

Participate in requirement reviews to identify test scenarios early.

Collaborate with Data Engineers to validate complex transformations and business rules.

Mentor junior engineers on automation best practices.

Contribute to continuous improvement of automation standards, tooling, and processes.

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Senior Software Engineer (Automation)

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