Tripadvisor

Data Engineer

• Providing the organization’s data consumers high quality data sets by data curation, consolidation, and manipulation from a wide variety of large scale (terabyte and growing) sources.
• Building high quality data pipelines and ETL processes that interact with terabytes of data on leading platforms such as Snowflake and BigQuery.
• Developing and improving our enterprise data marts by creating efficient and scalable data models to be used across the organization.
• Partnering with our analytics, data science, crm, and machine learning teams for data solutions.
• Responsible for an enterprise data mart integrity, validation, and documentation.
• Responsible for the data pipelines’ SLA and dependency management.
• Writing technical documentation for data solutions, and presenting at design reviews
• Solving data pipeline failure events and implementing sound anomaly detection
• Working with various teams from analytics to product owners and front end developers on tracking solutions and solving technical challenges
• Leading medium to large size projects in terms of writing technical specs and project planning
• Mentoring junior members of the team.

Senior Data Engineer

Platform Engineer

• Design, build, and maintain robust ETL/ELT data pipelines that process terabyte-scale data across Snowflake, BigQuery, Hive, and other platforms.
• Develop scalable, reusable data models and curated data sets for analytics, data science, CRM, machine learning, and other data consumers across the organization.
• Own the full lifecycle of data pipelines: define SLAs, implement performance measurements, monitoring, and anomaly detection.
• Ensure enterprise data integrity, validation, documentation, and governance.
• Write production Java and Python code across our evolving platform stack — from data ingestion and event processing to REST services and internal tooling.
• Build and maintain 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).
• Operate on and improve cloud infrastructure on AWS, with familiarity with Gradle, Linux, and related tooling.
• Take on projects with independence and a mandate to leave things better than you found them.
• Be integral to code quality on your team through leadership in design and code review.
• Collaborate closely with Product, Design, Analytics, and Data Science teams to define specifications and deliver high-quality solutions.
• Communicate effectively with both technical and business stakeholders; translate complex data problems into clear solutions.
• Work alongside engineering groups located around the world in a fast-paced, dynamic environment.

Data Engineer II – Data Platform

Data Scientist

• Design and analyse A/B tests across Viator’s marketplace, applying sound statistical methods to interpret results and support confident decision-making
• Champion experimentation best practices: power calculations, guardrail metrics, and multiple testing corrections.
• Develop your mastery of causal inference and advanced experimentation techniques (e.g., difference-in-differences, propensity scoring, synthetic controls) as you apply them to answer questions that can't be randomized
• Own the measurement framework for your product area: define key metrics, build the instrumentation to track them, and surface insights that move the needle.
• Conduct exploratory analyses and deep dives into our data, using various data science approaches, to inform product decisions
• Enable self-service through scalable datasets, metrics, dashboards and reporting frameworks
• Translate analytical outputs into actionable insights and clear product recommendations
• Act as a thought partner with product managers and engineers to ensure the right data questions are being asked
• Translate analyses into clear narratives that are accessible to non-technical audiences

Product Data Scientist

• Lead and define the Data Science strategy for Product• Serve as a trusted strategic advisor to senior Product and Engineering leadership• Drive the development and adoption of next-generation data science tooling, platforms, and frameworks• Spearhead the exploration and integration of emerging AI technologies• Champion best practices in experimentation, causal inference, and uplift modeling• Take ownership of the most complex, high-profile analytical projects• Mentor, coach, and develop other Data Scientists and Analysts• Lead initiatives to scale impact through automation, self-service, and democratization of data science capabilities• Develop sophisticated customer segmentation, and predictive models• Communicate complex analytical and technical concepts to diverse audiences

Senior Data Engineer

Data Engineer II – Data Platform

Senior Data Engineer

Product Data Scientist

Principal Product Data Scientist