Data Engineer
CurrentDevelopment, implementation, and maintenance of database architectures on (AWS RDS, EC2, MongoDB);Data modeling in Snowflake and Star Schema, including efficient design and implementation of structures for high-performance analysis;Ability to handle large volumes of data, ensuring scalability and appropriate performance of database solutions;Execution of ETL (Extraction, Transformation, and Loading) processes through the Pentaho platform and Apache Airflow;Proficiency in Python for developing data pipelines, automation scripts, and data analysis tasks;Alignment of architectures with business requirements and demands, translating requirements into dimensional models to ensure data integrity;Responsibility for acquiring data efficiently and accurately;Development of strategies and processes for dataset management;Identification and implementation of improvements to increase data reliability, efficiency, and quality;Discovery of hidden patterns and relevant insights through data analysis;Utilization of data to automate tasks and optimize processes;Construction of enterprise-scale SaaS applications;Preparation of detailed documentation of performed procedures.