Data Analytics Engineer, Data Analytics & Infrastructure (Finance)
Remote - East Coast
KAYAK
KAYAK searches hundreds of other travel sites at once to find the information you need to make the right decisions on flights, hotels & rental cars.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 reporting.
- 3+ years' experience with big data technologies like Hadoop and Spark.
- 3+ years' experience with EPM technologies (Essbase or Anaplan).
- 5+ years' experience with RDBMS (Oracle, MS SQL Server) and using SQL or other data integration/ETL tools.
- demonstrated ability with reporting tools (Tableau/looker)
- proven experience in analytics, consulting, or technology
- Strong, hands-on SQL experience, preferably with Oracle or Vertica, but other relational databases are OK
- Experience/exposure in Python or Object-oriented programming
- Takes ownership for results, “owning” assignments and projects
- A can-do attitude and a passion for analytics/data.
Benefits and Perks
- 4 weeks paid vacation
- Ability to work from almost anywhere
- Day off on your birthday
- Generous retirement plans
- Awesome health, dental and vision insurance plans
- Flexible Spending Accounts
- Headspace Subscription
- No Meeting Fridays
- Drinks, coffee, snacks, games etc.
- Weekly catered lunches
- Flexible hours
- Regular team events/excursions
- Universal Paid Parental leave
There are a variety of factors that go into determining a salary range, including but not limited to external market benchmark data, geographic location, and years of experience sought/required. The range for this United States located role is $110,000 - $135,000.
In addition to a competitive base salary, roles are eligible for additional compensation and benefits including: annual cash bonus; health benefits; flexible spending account; retirement benefits; life insurance; paid time off (including PTO, paid sick leave, medical leave, bereavement leave, floating holidays and paid holidays); and parental leave and benefits.
Diversity and Inclusion
We aspire to have a workplace that reflects all of the diverse communities we serve. We know that when we have diverse teams we produce more creative ideas, products, and better outcomes for our team members. OpenTable/KAYAK is proud to be an Equal Opportunity Employer and we welcome and encourage candidates from all backgrounds and experiences to apply for roles on our team. Whoever you are, just be you.
We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform job responsibilities, and to receive other benefits and privileges of employment. Please contact us to request accommodation.
#LI - BB1
Tags: Big Data Computer Science Consulting Data Analytics Data pipelines Engineering ETL Finance Hadoop Looker MS SQL OOP Oracle Pipelines Python RDBMS Spark SQL Tableau Unstructured data
Perks/benefits: Competitive pay Flex hours Flexible spending account Flex vacation Health care Lunch / meals Medical leave Parental leave Salary bonus Team events
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