Position: Data Engineer for Profisy
Company: GT
Category: Data Engineer
Experience required: 3y
English level: upper
Published: 2022-10-01T00:00:00+03:00

At **Profisy** you’ll be able to comprehensively apply and train your Data skills, starting from chasing new data or working with an existing one and ending with creating data pipelines and using them in AI engines to make wise predictions inaccessible to a common man.

**Responsibilities**
**Data:**
- Work with various data types: sales, surveys, world economic data and more
- Maintain and develop a cloud Data Lake storage on AWS
- Improve existing data quality by fixing what’s wrong and filling in what’s missing
- Explore opportunities and enrich the database with new sources
- Design automatic and manual data processing and validation pipelines and workflows

**Research:**
- Discover and scrape the best data in the wild
- Estimate data quality and perspective for AI and business applications
- Perform and present exploratory data analysis in tabular and graphical format
- Implement ideas to increase databases and dataflows quality, efficiency, and effectiveness
- Influence AI engines and product features development plan

**Machine Learning:**
- Create AI models using classical algorithms in a functional way for further implementation by the engineering team
- Make models better by enhancement of the training data
- Improve models by adding features, developing learning

**Skills & Experience:**
- Bachelor+ degree in Mathematics/ Statistics/ Computer Science or related field
- 3+ years of working experience as a Data Analyst/ Engineer/ Scientist in commercial IT projects
- Strong knowledge of mathematics and statistics
- Strong Python programming skills related to data mangling (Pandas, Matplotlib, Sklearn is must, more relevant libraries are beneficial)
- Strong knowledge of data scraping (work with web requests and API)
- Experience in building and running AI/ ML models
- Practical knowledge of AWS data storage and processing tools is beneficial
- Understanding a sales/ financial/ economic data specificity is beneficial
- At least an upper-intermediate level of English

**We go beyond usual perks… By working with us, you will get:**
- Health insurance
- Lunches coverage
- Psychotherapy assistance allowance
- Gym allowance
- Individual educational budget
- Monthly commute allowance for those who visit the office in Kyiv or free parking space in Unit.City (Kyiv, Ukraine)
- Best-in-class IT equipment mirroring our client set-up
- 18 business days of paid vacations days per year and paid sick days
- All public holidays are paid days off

**GT working model:**
You will work directly with a client through our Extended Team model. We try to do things differently and put our efforts to integrate you as deeply as possible into the client’s team. You work with the same tools and technologies as they do and are managed directly by the client without any intermediary in between. We help you build relationships and create an environment where you genuinely feel like a member of the client’s team. We also encourage trips to a client and join teambuilding and after-work activities. Our Extended Team model is focused on long-term projects that last over several years.