Position: Senior Data Engineer
Company: BrickRed System
Experience required: 1y
English level: intermediate

About the team - The Pricing Tech team consists of Business Intelligence Data Science (BIDS) and Pricing Intelligence Engineering (PIE) teams. The data engineering team in BIDS is responsible for the core functionality of revenue management and pricing model development across the organization. The team will help develop predictive and prescriptive models to optimize revenue, fleet utilization, demand models, supply models, dynamic pricing engine, and personalized pricing engine for the two sided marketplace through quality data.
What is in for you? As a Data Engineer in the BIDS organization, you have an unparalleled opportunity to use your skills to help answer high impact open questions for the business team, help prototype ML algorithms, productize the algorithm in collaboration with the PIE team, and drive business insights through data. You will be collaborating with Product Managers, Engineers, other Data Scientists/Engineers, and Product Analysts solving many complex problems while having a lot of fun. The team is growing exponentially offering ample opportunity to own additional responsibilities and disrupt the private jet aviation space. This is a unique opportunity for you, as a data engineer to join a strong, and high growth company early in its lifecycle and help us define and realize our vision for trustworthy data across the company.
Responsibilities
•            Developing and automating large scale, high-performance data processing systems to support our pricing engine and drive business growth
•            Responsible for the design, development, and maintenance of data pipelines
•            Performing data cleaning and validation across different sources to improve data quality
•            Supporting data scientists and business partners in the company with various needs
•            Creating and maintaining data dictionaries for clarity and transparency of the data
•            Generating reports or dashboard to help business partners make data driven decisions
Qualifications
•            5+ years of relevant industry experience
•            Master’s degree, preferably in Computer Science, or related field
•            Advanced working experience with data warehouse and ETL
•            Experience designing and deploying high performance systems with reliable monitoring and logging practices
•            Advanced working knowledge and experience working with relational databases, query authoring and optimization (SQL)
•            Experience with relational SQL and NoSQL databases, including Postgres and MongoDb
•            Strong problem solving and coding skills with one of the following languages: Python/Java/Go.
•            Experience with BI and data visualization tools
•            Excellent communication skills, both written and verbal


About our client:
It is the first and only global aviation company. Offering worldwide access on Challenger and Global Jets, they tailor all trip and passenger requirements down to the finest details for their clients. It’s fleet of more than 70 private jets has been used by heads of state, corporate leaders and entrepreneurs to travel between 187 countries worldwide.

They are looking for an experienced and versatile Data Engineer to be part of our technology department and contribute to the creation of the next generation of our bespoke software platform. The successful candidate will work closely with our business units and the wider tech team to deliver efficient digital processes for a global 24x7 operation.

We offer:
- A full remote possibility;
- 24 paid vacation days per year;
- 5 paid sick leave days per year;
- High compensation according to your technical skills;
- Official holidays;
- Full taxes compensation
- Accounting support & consulting;
- Professional and personal growth;
- Study and practice of English: constant communication with native English speakers;
- Flexible time schedule with overlapping 4 hours with PST time zone.
- He ability to switch projects, technology stacks, try yourself in different roles;
- Corporate events with presents, team buildings, etc.
- Experienced colleagues who are ready to share knowledge;