Data Analytics Engineer, Data Analytics & Infrastructure (Finance) - Remote - East Coast
KAYAK, part of Booking Holdings (NASDAQ: BKNG), is the world’s leading travel search engine. With billions of queries across our platforms, we help people find their perfect flight, stay, rental car, cruise, or vacation package. We’re also transforming the in-travel experience with our app and new accommodation software. For more information, visit www.KAYAK.com.
As an employee of KAYAK, you will be part of a global network that includes OpenTable and KAYAK's portfolio of metasearch brands including Swoodoo, checkfelix, momondo, Cheapflights, Mundi and HotelsCombined. Many employees are dedicated to one brand, but we all have the benefit of using each others strengths and insights. Together, we're able to help people experience the world through dining and travel.
In this role, you will:
- Prepare and ingest data into financial forecasting models and be responsible for timeliness and accuracy of such data processes.
- Build data pipelines, reporting infrastructures and help develop new FP&A processes and analyses that add value for all stakeholders.
- Implement SQL composition skills that collects and queries data for investigation and analysis in real time from our applications.
- Maintain and design early warning and analytics systems using innovative cloud data technologies.
- Collaborate on building software that collects and queries data, while also composing queries for investigation purposes.
- Improve upon the data ingestion models, ETL jobs, and alarming to maintain data integrity and data availability.
- You will work cross-functionally with various teams, crafting solutions that deal with large volumes of data.
- Build Data Pipelines to ingest structured and Unstructured Data.
- Gain hands-on experience with new data platforms and programming languages.
Please apply if:
- Bachelor of Computer Science, Engineering
- 5+ years' experience with data aggregation, standardization, linking, quality check mechanisms, and …
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Regions Countries Benefits/Perks4 weeks paid vacation Ability to work from almost anywhere Catered lunches Day off on your birthday Drinks, coffee, snacks, games, etc. Flexible hours Flexible Spending Accounts Generous retirement plans Headspace Subscription Health, Dental and Vision Insurance Health, dental, and vision insurance plans No meeting Fridays Paid parental leave Paid Vacation Regular team events Regular team events/excursions Retirement plans Universal Paid Parental leave Weekly catered lunches
SkillsForecasting Hadoop Looker Python Spark SQL Tableau
Tasks- Build data pipelines and reporting infrastructures
- Build Data Pipelines for structured and unstructured data
- Collaborate on building software for data collection and analysis
- Gain hands-on experience with new data platforms and programming languages
- Implement SQL composition skills for data analysis
- Improve data ingestion models and ETL jobs
- Maintain and design analytics systems using cloud data technologies
- Prepare and ingest data into financial forecasting models
- Work cross-functionally on solutions dealing with large data volumes
5 years
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