Position: Data Engineer
Category: Data Engineer
English level: upper
Years of experience: 1.5


•	Designing and implementing Extract, Transform, Load (ETL) processes to efficiently move and transform raw data from various sources into usable formats for analysis.
•	Utilizing cloud-based platforms (such as AWS, GCP) to deploy and manage data engineering solutions, leveraging their scalability and flexibility.
•	Integrating data from disparate sources, both internal and external, to create a unified and comprehensive view of organizational data.
•	Developing and maintaining data models that define how data is structured and organized in databases or Data Warehouses to optimize querying and analysis.
•	Designing, constructing, and managing Data Warehouses to ensure high-performance storage, efficient data retrieval, and scalability.
•	Maintaining version control for code and documentation of data engineering processes, facilitating collaboration and knowledge sharing.