We believe that we are better together, and at Tripadvisor we welcome you for who you are. Our workplace is for everyone, as is our people powered platform.
At Tripadvisor, we want you to bring your unique perspective and experiences, so we can collectively revolutionize travel and together find the good out there.
Tripadvisor, the world's largest travel site, operates at scale with over 500 million reviews, opinions, photos, and videos reaching over 390 million unique visitors each month.
We are a data driven company that leverages our data to empower our decisions. Tripadvisor is extremely excited to play a pivotal role in supporting our travellers.
With travel plans dashed in early 2020, many people have been dreaming about their next big holiday for more than a year, so it's no surprise that travellers are extra conscious of getting it just right when they do travel.
Helping to play an important role in enabling travellers is an amazing opportunity over the next year and beyond.
Our data engineering team is focused on delivering TripAdvisor's first-in-class data products that serve all data users across the organization.
As a member of the Data Platform Enterprise Services Team, you will collaborate with engineering and business stakeholders to build, optimize, maintain, and secure the full data vertical including tracking instrumentation, information architecture, ETL pipelines, and tooling that provide key analytics insights for business-critical decisions at the highest levels of Product, Finance, Sales, CRM, Marketing, Data Science, and more.
All in a dynamic environment of continuously modernizing tech stack including highly scalable architecture, cloud-based infrastructure, and real-time responsiveness.
TripAdvisor provides a unique, global work environment that captures the speed, innovation and excitement of a startup, at a thriving, growing and well-established industry brand.
We take pride in our data engineering and are looking for a talented and highly-motivated engineer with a passion for solving interesting problems to add to our high-performing team.
What You'll Do
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 mart by creating efficient and scalable data models to be used across the organization.
Partnering with our analytics, data science, crm, and machine learning teams.
Responsible for 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.
What We Seek
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
Nice to Have :
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.
What you'll get
Highly competitive salary along with the following :
Annual performance related bonus
Annual lifestyle reimbursement for travel, home office, health / fitness etc.
Generous stock (RSU) award upon joining, with additional awards annually
Regular salary reviews and excellent career growth opportunities
Private Healthcare and Dental
Very flexible working hours
Summer Flex Time" scheme allowing extra days off during the summer
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 greenhouse tripadvisor.com .