Data Engineer

Що робити

• Developing and maintaining robust ETL (Extract, Transform, Load) processes to ensure efficient and reliable data flow and transformation across various sources and destinations.
• Implementing stringent data anonymization and encryption techniques to safeguard sensitive information and ensure compliance with data privacy regulations.
• Designing and constructing scalable and efficient data marts and data warehouses using DBT (Data Build Tool) and other relevant technologies to support business intelligence, reporting, and analytics initiatives.
• Optimizing complex database queries and data pipelines for improved performance, scalability, and resource utilization.
• Implementing and validating feature calculation logic and data preprocessing techniques to support machine learning, statistical modeling, and advanced analytics applications.