OpenTable
OpenTable

Data Engineer

At OpenTable, we take pleasure in Software Design. We believe that velocity comes from a commitment to clean code and solid engineering principles. We deliver innovative products through rapid, continuous development. We are passionate about building small, independent product development teams – product managers, designers and engineers working together empowered to make their own decisions.

Job Description:

As OpenTable moves toward an event based architecture for all our application services, you will have the opportunity to help design and develop the new Analytics infrastructure. You will be communicating with Business Users directly to perform Business Analysis. You’ll also work on building a data pipeline from the event based services to consume and store events and make them easily accessible for Analytics.

Responsibilities:

  • Use Python to process event data stored in Kafka and AWS S3.

  • Build a data pipeline in Apache Airflow from Amazon S3 to our Snowflake data warehouse.

  • Work closely with other development teams and create automated processes to monitor and ensure data quality.

  • Develop and maintain reporting for our home grown A/B testing framework.

  • Improve bot analysis and detection.

  • Develop and maintain various APIs for collecting event data and providing data to other systems.

  • Locate and define new process improvement opportunities.

  • Interpret data, analyze results using statistical techniques.

  • Develop data collection systems and other strategies that optimize statistical efficiency and data quality.

  • Identify, analyze, and interpret trends or patterns in complex data sets.

Minimum Qualifications:

  • BS degree in Computer Science or related technical field, or equivalent practical experience.

  • 5 Years of proven working experience as a data engineer.

  • Technical expertise regarding data models, database design development, data mining and segmentation techniques.

  • Expert in at least 1 of the following programming languages: Python, Scala or Java.

  • Knowledge of statistics and experience using statistical packages for analysing large datasets (Excel, SPSS, SAS etc).

  • Strong analytical skills with the ability to collect, organize, analyze, and disseminate significant amounts of information with attention to detail and accuracy.

  • Adept at queries, report writing and presenting findings.

About OpenTable

OpenTable, part of The Booking Holdings company (NASDAQ: BKNG), is the world's leading provider of online restaurant reservations, seating more than 26 million diners per month via online bookings across approximately 47,000 restaurants. The OpenTable network connects restaurants and diners, helping diners discover and book the perfect table and helping restaurants deliver personalized hospitality to keep guests coming back.

Since its inception in 1998, OpenTable has seated more than 1.7 billion diners around the world. The Company is headquartered in San Francisco, California, and the OpenTable service is available throughout the United States, as well as in Canada, Germany, Japan, Mexico, and the UK.

As an employee of OpenTable, you will be part of a global network that includes OpenTable and KAYAK's portfolio of metasearch brands including momondo, Cheapflights, Swoodoo, checkfelix and Mundi. Many employees are dedicated to one brand, but we all have the benefit of using each other’s strengths and insights. Together, we’re able to help people experience the world through dining and travel.

We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.

#LI-AB1

OpenTable is a robust platform that powers the dining experience, helping restaurants, bars, and wineries manage reservations and optimize operations. By connecting diners to their favorite venues, OpenTable supports the restaurant industry with innovative technology that enhances both guest experiences and business efficiency.

Founded
Founded 1998
Employees
500+ employees
Industry
Internet Software & Services
Total raised
$48M raised
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