Tripadvisor
Data Engineer II – Data Platform Enterprise Services
Job Description
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 travelers.
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.
LOCATION: This position is available for remote work throughout Portugal. Applicants must have the right to work in Portugal, and if residing abroad, must be willing to relocate to Portugal.
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 first-class data products and ETL processes that interact with terabytes of data on leading platforms such as Snowflake and BigQuery.
- Developing and improving Foundational datasets by creating efficient and scalable data models to be used across the organization.
- Partnering with our Data Science, Analytics, CRM, and Machine Learning teams.
- 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 anomaly detection.
- Working with various teams from Data Science to Product owners and front end developers on tracking solutions and solving technical challenges.
Skills & Experience:
- Bachelor’s degree in Computer Science or related field
- 4+ years experience in commercial software development.
- Experience to mentor and support more junior members of the Team.
- Experience with Big Data technologies such as Snowflake, Databricks.
- Solid level skills writing and optimizing complex SQL.
- 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.
- Hands-on knowledge of the modern AWS Data Ecosystem, including AWS S3 and AWS Lambda.
- Experience with relational and NoSQL databases.
- Experience with programming languages such as Python, Java and/or Scala.
- Proficiency with Linux command line and systems administrations.
- Knowledge of cloud data warehouse concepts.
- While not mandatory, experience in building and operating data pipelines and products in compliance with the data mesh philosophy would be beneficial. Demonstrated efficiency in treating data: data lineage, data quality, data observability and data discoverability.
- Excellent verbal and written communication skills; Proven interpersonal skills and ability to convey key insights from complex analyses in summarized business terms;
- Ability to effectively communicate with technical teams.
- Ability to work in a fast-paced and dynamic environment
If you need a reasonable accommodation or support during the application or the recruiting process due to a medical condition or disability, please reach out to your individual recruiter or send an email to [email protected] and let us know the nature of your request. Please include the job requisition number in your message.
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