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Full-Time

Data Analytics Engineer, Data Analytics & Infrastructure (remote Est)

Posted on 6/14/2022

KAYAK

KAYAK

1,001-5,000 employees

Travel search engine for flights and hotels

Consulting
AI & Machine Learning

Mid, Senior

Stamford, CT, USA

Category
Software Engineering
Data & Analytics
Required Skills
Power BI
Python
Management
SQL
Tableau
AWS
Looker
Data Analysis
Google Cloud Platform
Requirements
  • Bachelor of Computer Science, Engineering
  • 5+ years of work experience in Software Engineering and development
  • Expert knowledge in data modeling
  • Solid experience with cloud/distributed data transformation technologies. (GCP/AWS)
  • Strong knowledge of databases - Relational/No-SQL/Document
  • Experience with Data Visualization tools - Tableau/Power BI/Looker
  • Proficient in Python or Object-oriented programming
  • Experience with designing and leading distributed data management and analytics infrastructure
Responsibilities
  • Oversee data quality, data accuracy and timeliness of business reporting systems
  • Participate in cloud migration and modernizing current data systems
  • 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
  • Diagnose and solve any issues within data infrastructure
  • Effectively collaborate and engage in team efforts, working multi-functionally across the organization

KAYAK is a travel search engine that aggregates data from multiple sources to help users find flights, accommodations, rental cars, and vacation packages. The company utilizes tools like KAYAK Trips, Explore, Price Forecast, and ongoing app and A.I. advancements to streamline travel planning and management.

Company Stage

M&A

Total Funding

$2.2B

Headquarters

Stamford, Connecticut

Founded

2004

Growth & Insights
Headcount

6 month growth

0%

1 year growth

0%

2 year growth

5%

Benefits

Wellness

Social Life

Education

Flexible Hours and Happier Days

INACTIVE