Booking Holdings Romania - Software Engineer - Big Data

Booking Holdings Romania is a Center of Excellence based in Bucharest, Romania and was created to support the increasing business demands of the Booking Holdings Brands. The Center of Excellence provides access to specialized and highly skilled talent, leading industry best practices, and collaboration opportunities across all of our Brands. As part of our Booking Holdings Romania team, you will have the opportunity to be a part of the world’s leading provider of online travel, with a mission of making it easier for everyone to experience the world through six-primary consumer facing brands: Booking.com, Priceline, Agoda, KAYAK and OpenTable. This role provides a hybrid way of working with an onsite presence of 2 days/week. Account Security Do you want to play a pivotal role in protecting Booking.com user accounts against evolving threats? Are you eager to harness the full potential of data analysis to stay ahead of the curve? If your answer is yes, then join us in building a complex big data system that will ingest and enrich all necessary data streams across the security platform! Our work will directly impact end users, contributing to the protection of their accounts, and ensuring a positive experience on Booking.com! Role description You will be involved in designing the architecture and choosing the technologies to fit our high-performance requests in terms of data availability and consistency, response time, and traffic patterns, while working with the latest tech stack: Snowflake, Airflow, Spark, Kafka, AWS. Role Qualifications and Requirements Computer Science (or related field) degree and 3+ years of relevant work experience Proficiency in 1 or more server-side programming languages - preferably Python, Java Experience with crafting and building scalable and flexible data pipelines in distributed environments with technologies such as Hadoop, Cassandra, Kafka, MySQL. Experience using data-intensive processing frameworks (Spark, Kafka Streaming ) is a plus Strong algorithm and problem-solving skills Experience working with Kubernetes and Docker will be considered a plus. Excellent English communication (written and spoken) skills. Key Job Responsibilities and Duties Play a key role in creating scalable, flexible and high-performance data processing pipelines to enrich our analysis and machine learning models for prevention, detection, and remediation mechanisms. Focus on innovation to address complex technical issues associated with distributed systems. Own the solution end to end, from design and implementation to deployment and monitoring in production. Cultivate a collaborative environment by serving as a mentor and coach for the team members. Make us better as an organization by communicating your improvement ideas and proposals to partners beyond your team. Benefits & Perks Contributing to a high-scale, complex, world renowned product and seeing real-time impact of your work on millions of travelers worldwide Working in a fast-paced and performance driven culture Technical, behavioral and interpersonal competence advancement via on-the-job opportunities, experimental projects, hackathons, conferences and active community participation Competitive compensation and benefits package Vast amounts of data to validate your ideas and the opportunity to experiment with real users Booking Holdings is proud to be an equal opportunity workplace and is an affirmative action employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability, age, or veteran status. We strive to move well beyond traditional equal opportunity and work to create an environment that allows everyone to thrive. Pre-Employment Screening If your application is successful, your personal data may be used for a pre-employment screening check by a third party as permitted by applicable law. Depending on the vacancy and applicable law, a pre-employment screening may include employment history, education and other information (such as media information) that may be necessary for determining your qualifications and suitability for the position.