Data Engineer

Winline. IT & TECH Full-time Full employment

• Implementation in tandem with the architect of the physical data architecture level in DWH for all layers (raw data layer, core data layer, data mart layer);
• Implementation of ETL pipelines for data transfer from various internal and external IT systems, using different approaches to obtaining data from the source;
• Building an effective ETL pipeline orchestration system that ensures data updates in DWH according to specified business requirements;
• Implementation and support of application solutions for DWH data quality control;
• Implementation and support of application solutions for DWH metadata management;
• Participation in R&D for selecting tools to build individual parts of the data platform

• Work experience of 3+ years;
• basic skills in data engineering;
• systematic analytical engineering thinking;
• moderate perfectionism and attention to detail;
• understanding of DWH design concepts;
• advanced SQL knowledge;
• high level of Python proficiency for data processing;
• experience with orchestrators and understanding of the DAG concept;
• experience in developing and supporting end-to-end data pipelines;
• experience obtaining data from various types of APIs;
• experience with stream data processing;
• ability to work with GIT

• work schedule: office 5/2 during the probation period, then hybrid;
• annual salary indexation, meal compensation, performance bonuses, sick leave payments, material assistance in difficult situations;
• relocation from anywhere in the world