Position: Data Engineer (FinTech)
Company: Skill Reveal
Category: Data Engineer
Experience required: 2y
English level: upper

**🏢 About the Company**
   The company consists of a core team and a network of top-class experts, entrepreneurs, and talents from a wide range of fields. Retail, lifestyle, architecture, marketing, web design, conception - for many topics we have specialists directly in the neighborhood. And a worldwide network of many other specialists who work with us. 
   The core is our Engineering Hub in Lviv in Ukraine. We select the employees ourselves in our own interview center. Following the same philosophy that applies to our ventures: we invest in good people to achieve the best results. 
   Together with our partners we develop innovative ideas and build successful digital products. With start-ups, established companies, and consulting firms. From day zero to all growth phases we support with experience, technology, highly qualified software teams, and our investor network.
	
**🚀 About the Project**
   We are looking for a person who has solid expertise with PowerBI to be able to create apps that will solve the business problems of our clients and deploy them fast into our platform.
   The partner you will work with is building a platform for data analytics and data visualization in the consultancy area. Built on complex backend mathematics, it solves various retail problems and provides extensive analytical insights based on numerous well-designed metrics. The team works with Scrum ceremonies to ensure stable product delivery. 

**🛠️ Tech Stack**
- Python
- FastAPI
- PostgreSQL
- Pandas
- Scipy
- Spark
- AzureDatabricks
- Plotly
- React js

**🐝 Job responsibilities**
- Analyze and organize raw data
- Build data systems and pipelines
- Evaluate business needs and objectives, propose effective solutions
- Detect and interpret trends and patterns
- Conduct complex data analysis and report on results
- Prepare data for prescriptive and predictive modeling
- Explore ways to enhance data quality and reliability, develop measurements to assess the data
- Collaborate with data scientists and architects on projects
- Suggest and set up processes and systems to monitor data quality, ensuring production data is always accurate.
- Perform data analysis required to troubleshoot data related issues and assist in the resolution of data issues.
- Contribute to engineering wiki, and documents work (swapped with the prev one to keep data quality points closer)
- Work closely with a team of frontend and backend engineers, product managers, and analysts

**💻 Minimum of Qualifications**
- BS or MS degree in Computer Science or a related technical field
- 3+ years coding experience in Python/pySpark
- Experience in Analysis Services
- 2+ years’ experience with Data Visualization tool — Power BI, Tableau
- Excellent problem solving and troubleshooting skills
- Process oriented with great documentation skills
- Excellent oral and written English communication skills
- Team player with analytical talent, high performance motivation, curiosity,
persuasiveness
- Experience with or knowledge of Agile Software Development
methodologies is a plus

**🐝 What do we offer**
- Competitive salary with a long term contract
- Super-experienced international team
- A creative working environment with plenty of scope for creativity
- Great working atmosphere and flat hierarchies
- Agile teams where your ideas and solutions are valued
- Everyday use of modern development tools/frameworks
- Remote work or working from our Hub in Lviv
- Attractive compensation package (20 days of vacation, 5 sick days - 100% compensation, 10 sick days - 70% compensation, 15 sick days - 50% compensation)