Position: Python Data engineer
Company: Brightgrove
Experience required: 2y
Category: Python
English level: intermediate
Published: 2020-07-01T00:00:00+03:00

Be among the first who are going to join our modern development center in Kyiv!

Our globally distributed team is responsible for turning data into insights, services, and products for one of the leaders in the hospitality and travel domain. Around 50 Data Specialists (Analysts, Scientists, and Engineers) work together to create solutions that ultimately serve millions of travelers worldwide.

We leverage the rich data landscape (spend data, booking data, rate data, web analytics data, etc.) to enable business stakeholders and customers with advanced analytical solutions, and provide information on travelers’ behavior, and lodging market. We also bring state-of-the-art algorithms in production to enhance Search & Booking experience (with personalized recommendations) and optimize the corporate hotel portfolio to meet both the requirements of the customers and the needs of the travelers.

Responsibilities
You’ll use state-of-art technologies to develop an innovative data landscape for driving the business with up-to-date and real-time analytical solutions coupled.

Create new data services in collaboration with product owners, peers, and other stakeholders
Be up to speed in our AWS cloud-based environment, get things done with the help of technologies like Spark, Hadoop, Kinesis, or Elasticsearch
Take part in the building of data architecture for ingestion, processing, and transferring of data for large-scale applications
Research and discover new methods to acquire data, and new applications for existing data
Work with other data team members including data architects, data analysts, and data scientists, product managers, and business stakeholders

Hard Skills:
Understanding of what it takes to design, build, and maintain successful data platforms, services, and products
Hands-on experience in Software Engineering (e.g. programming languages especially Python; big data technologies such as Hadoop, Spark, etc.)
Practical skills Data modeling and mining, building Data pipelines
Experience with cloud-based services, preferable AWS (Lambda, SQS, S3, RDS, EC2)
Excellent communication skills to collaborate with business stakeholders, fellow engineers, and management staff
Upper-Intermediate English is a must