·       Practical knowledge of IT technologies and tools in the field of BigData solutions

·       At least 5 years of experience in designing Big Data solutions and models

·       Knowledge and experience in the concepts of Data Lake, Big Data and NoSQL

·       Experience in designing event processing and batch processing data pipelines

·       Experience in configuring open source Big Data components

·       Practical knowledge of microservices architecture

·       Experience in Big Data solutions in the public cloud

·       Good knowledge of Spark programming

·       Minimum 5 years of practical experience in designing and optimizing ETL processes

·       Practical ability to model Big Data architecture components in UML notation using Sparx Enterprise Architect software

·       At least 5 years of practical experience in data modeling and designing the data layer in Big Data

·       Practical knowledge of issues related to the optimization of data processing processes within the Data Lake architecture

·       Designing and documenting architecture in the area of ​​Big Data

·       Designing and conducting architectural supervision over the implementation of individual Big Data tools

·       Creating procedures within DevOps for the development and maintenance of the Big Data environment (including the metadata layer, Data Lake)

·       Creating and implementing security, quality and data retention policies

·       Creating procedures within DevOps for the development and maintenance of the process of providing data from source systems

·       Architectural supervision over the entire Big Data environment

·       Substantive supervision over the work of teams of ETL Programmers

·       Cooperation as a mentor with the project team at each stage of designing and implementing the Big Data environment