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Overview
Join Betsson Group as a Data Engineer to optimize data architecture and ETL processes in a fast-paced igaming environment. Utilize your skills in PostgreSQL and Python to enhance customer experience. We are looking for a talented Data Engineer Betsson Georgia brand who will be involved in different processes and help us deliver the best customer experience in the industry. Here we have fast-paced business environment where you will never be short of new challenges. If you want to use the latest technologies while working in a dynamic, friendly and comfortable atmosphere, Betsson Georgia could be the perfect place for you.
Key Responsibilities
- •Design and update of data architecture to ensure a managed and automated process for data flows;
- •Optimization of data platforms (PostgreSQL) to ensure stable and timely data streams;
- •Building and continuous optimization of data ETL (Extract, Transform, Load) processes;
- •Creation and development of data structures for Power BI and other visualization tools;
- •Integrated data quality control in a centralized data repository, ensuring data reliability and security;
- •Creation of data models based on business requirements that facilitate data analysis and improvement of business processes;
- •Implementation and integration of data technologies, standards, and new trends into business processes.
We offer
- •Working in fast growing business with professional management teams and value driven challenging and development oriented organisational culture;
- •Non-formal, creative and comfortable environment;
- •Opportunities to fulfil your potential in a diverse and fast-paced setting.
Requirements
- •Higher technical education (Information Technology, Computer Science, or other technical fields);
- •3-5 years of experience in a similar role;
- •High-level knowledge of PostgreSQL relational database management systems;
- •Experience in building ETL processes;
- •Proficiency in the Python programming language;
- •Experience using Power BI, Tableau, or similar tools;
- •Experience in data architecture and data flow management;
- •Experience in processing, optimizing, and analyzing large volumes of data;
- •Problem-solving skills and ability to implement innovations;
- •Fluent knowledge of English, both spoken and written, knowledge of the Russian language is a plus;
- •Attention to detail and focus on specifics;
- •Good communication skills.