Tripadvisor - Senior Data Engineer
Requirements
• BS or MS degree in Computer Science or a related technical discipline • 6+ years of data engineering or general software development experience • Experience working with large datasets (terabyte scale and growing) and familiarity with various technologies and tooling associated with databases and big data: • Big Data (i.e. Hadoop, Hive, BigQuery, Snowflake) • Relational DB (MS SQL, PostgreSQL/MySQL) • Comprehensive data design and data modeling experience • Solid experience developing complex ETL processes from concept to implementation; these should include defining SLA, performance measurements and monitoring. • Advanced query language and data exploration skills, proven record of writing complex SQL queries across large datasets. • Systems performance and optimization experience, with an eye for how systems architecture and design impacts performance and scalability • Experience in functional programming in Python or in an equivalent language • Strong software engineering principles • Self-paced, organized, and detail-oriented person with a strong sense of ownership • Strong communication skills to effectively communicate with both business and technical teams. • Ability to work in a fast-paced and dynamic environment • Proven record of technical leadership on planning and driving medium to large size projects and handling challenging deadlines. • Strong interpersonal skills, intense curiosity, and an enthusiasm for solving difficult problems. • Ability to break down complex problems into simple solutions. • Ability to work with end users to solve technical challenges • Comfortable owning the full data vertical and work autonomously • Ability to mentor and support more junior members of the Team • Exposure to and/or interest in machine learning and data science specifically to help solve day-to-day problems and reach objectives in an innovative way • Experience working with task orchestration tools, Airflow or similar systems • Comfortable working in a Linux CLI environment • Experience in designing high-scale, fault-tolerant and performant distributed applications • Experience in developing and managing real-time data pipelines • Experience in programming languages such as Java or equivalent • Experience with data governance.
Responsibilities
• Data Engineering & Data Products & Enablement • Own the full lifecycle of business critical data pipelines: define SLAs, implement performance measurement, monitoring, alerting, and anomaly detection, and lead incident response and root-cause analysis. • Define scalable, reusable data models and curated data sets for analytics, data science, CRM, machine learning, and other data consumers across the organization. • Design, build, and maintain robust ETL/ELT data pipelines that process terabyte- to petabyte-scale data across Snowflake, BigQuery, and other platforms. • Design, build and maintain streaming and batch systems that power real-time and analytical workloads, and lead simplification of legacy ingestion paths. • Drive warehouse standardization and technical-debt reduction as we consolidate toward one warehouse. • Drive enterprise data integrity, validation, documentation, and governance practices — and the tooling that makes them the default rather than the exception. • Set and evolve engineering standards, patterns, and best practices for data modeling, pipeline design, testing, and observability. • Platform & Software Engineering • Write and review production Java and Python code across our evolving platform stack — from data ingestion and event processing to REST services and internal tooling • Architect and scale streaming and batch processing systems (Flink, Spark, Kafka) that power real-time and analytical workloads. • Take responsibility for all aspects of software engineering: design, implementation, QA, and maintenance, with a CI/CD mindset (most engineers release to production every few days). • Design, operate, and continuously improve cloud infrastructure on AWS, applying strong judgment on performance, scalability, and cost. • Technical Leadership, Collaboration & Ownership • Lead large size initiatives end to end: technical specs, design reviews, project planning, and delivery across teams. • Set and uphold code and data quality through leadership in design and code review, and act as a technical mentor to engineers on the team and in the domains you enable. • Translate ambiguous, cross-organizational data problems into clear, standardized solutions, and communicate effectively with both technical and business stakeholders. • Work with independence and a mandate to leave things better than you found them, in a fast-paced, globally distributed environment. • Partner with Product, Design, Analytics, and Data Science leaders to shape specifications, challenge requirements constructively, and deliver high-impact solutions.
Benefits
• Competitive compensation packages, including base salary, annual bonus, and more. • “Work your way” with flexibility to suit your lifestyle. We take a remote-friendly approach to collaboration, with the option to join on-site as often as you’d like in select locations. • “Work your way” • Flexible schedule. Work-life balance is ingrained in our culture by design. Trust and accountability make it work. • Flexible schedule • Donation matching. Give back? Give more! We match qualifying charitable donations annually. • Donation matching • Tuition assistance. Want to level up your career? We love to hear it! Receive annual support for qualified programs. • Tuition assistance • Lifestyle benefit. An annual benefit to spend on yourself. Use it on travel, wellness, or whatever suits you. • Lifestyle benefit • Travel perks. We believe that travel is employee development, so we provide discounts and more. • Employee assistance program. We’re here for you with resources and programs to help you through life’s challenges. • Employee assistance program • Health benefits. We offer great coverage and competitive premiums. • Generous referral scheme. Help us grow and be rewarded with generous awards for referring successful candidates. • Generous referral scheme. • Our Cultural Pillars: • Traveller first: We exist to create value for our customer, the traveler. We enable our suppliers and partners to unlock this value. Their collective behaviors and insights are what drives us. • Traveller first: • Execution is our edge: We act fast, experiment, learn from failure, iterate, and improve the solutions of tomorrow across every aspect of our business. Our execution is agile, data-driven, prioritised, and built to scale. We assume no problem is someone else’s problem and finish what can be done today, knowing tomorrow will bring fresh challenges. • Execution is our edge: • We succeed together: The best outcomes are driven by empathic, humble, and diverse subject matter experts working toward shared goals. We collaborate relentlessly, challenge assumptions, give actionable feedback, and set each other up for success through empowered teams with a clear charter. We transparently take ownership of our growth, individually and as a team. We celebrate the quality of our effort, our learnings, and our collective achievements. • We succeed together: • Discover more in our Tech Blog, for an inside look into some of our exciting and ground-breaking technical projects here at Tripadvisor Group. • Tripadvisor Group champions the unique identities, abilities, and experiences of all our people – employees, customers, and partners. This stems from our belief in the transformative power of travel, dining, and experiences to connect us and open doors to worlds very different from our own. Our ED&I strategy shapes how we approach our people, culture, business, and reputation. Tripadvisor Group strives to embed inclusion and belonging across all our brands. • We strive to create an accessible and inclusive experience for all candidates. If you need a reasonable accommodation during the application or the recruiting process, please make sure to reach out to your individual recruiter or our team at [email protected]. • [email protected] • If you have any additional questions about careers at Tripadvisor you can email us at [email protected]. We have all the answers! • [email protected]
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