At Tripadvisor (Permanent), in Lisbon, Portugal
Expires at : 2021-09-23
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.
Our data is used to help people have amazing and safe trips as they travel the world. The Data Platform team are the experts in our data landscape at TripAdvisor, building out and maintaining truths to enable Tripadvisor to empower travelers across the world finding the best hotels, the best restaurants, and the best experiences they can have!
The Data Platform team is growing its world class enterprise data team and is looking for talented engineers to contribute to architecture and development.
Our team is responsible for building out all of the core datasets that will be used across Tripadvisor, as well as supporting our analytics, data science, and machine learning teams.
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 Will 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 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 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 integrity, validation, and documentation.
Solving data pipeline failure events and implementing sound anomaly detection
What we seek
BS or MS degree in Computer Science or a related technical discipline
4+ 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
Relational DB (PostgreSQL / MySQL)
Big Data (i.e. Hadoop, Hive, BigQuery, Snowflake)
Demonstrated proficiency in data design and data modeling
Experience in developing complex ETL processes from concept to implementation; these should include defining SLA, performance measurements and monitoring.
Proficiency in query language and data exploration skills, proven record of writing complex SQL queries across large datasets.
Systems performance and tuning experience, with an eye for how systems architecture and design impacts performance and scalability
Strong software engineering principles
Experience in functional programming in Python or in an equivalent language
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
Ability to break down complex problems into simple solutions.
Strong interpersonal skills, intense curiosity, and an enthusiasm for solving difficult problems.
Nice to Have : Nice to have
Nice to have