Senior Data Engineer

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Tripadvisor

WebsiteLinkedInAll Job Openings

1001 - 5000 employees

Founded 2000

🛍️ eCommerce

✈️ Travel

💰 $300M Post-IPO Equity on 2021-03

eCommerce • Travel

Tripadvisor is a popular online travel platform that offers a wealth of resources for planning trips, booking hotels, finding restaurants, and exploring activities worldwide. Known for its extensive traveler reviews and Travelers’ Choice Awards, Tripadvisor helps users discover top destinations and experiences, find award-winning dining options, and engage with travel content from various creators. The platform also allows users to book tours and attractions, compare vacation rentals, and access travel tools to enhance their travel experiences. Tripadvisor serves travelers around the world by providing insights, reviews, and guidance for a wide range of travel-related services.

📋 Description

• 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.

🎯 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

🏖️ 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. • Flexible schedule. Work-life balance is ingrained in our culture by design. Trust and accountability make it work. • Donation matching. Give back? Give more! We match qualifying charitable donations annually. • Tuition assistance. Want to level up your career? We love to hear it! Receive annual support for qualified programs. • Lifestyle benefit. An annual benefit to spend on yourself. Use it on travel, wellness, or whatever suits you. • 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. • 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.