Data Engineer

Аналитика рынка

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Описание

We are looking for a Data Engineer to develop, maintain, and improve data pipelines and data processing systems. The role focuses on building reliable data solutions, optimising existing processes, and ensuring data quality, system performance, and operational reliability. You will contribute to system improvements, automate data workflows, and apply good software engineering practices to support reliable data operations. Key Responsibilities Design, develop, and maintain ETL processes and data pipelines to collect, transform, and integrate data from multiple sources. Improve existing data processing systems while ensuring data accuracy and consistency. Design and maintain database schemas, data models, and storage structures for large datasets. Develop reusable code, libraries, and tools to improve efficiency and maintainability. Implement automated testing and deployment using CI/CD pipelines. Configure and manage data workflow scheduling, dependencies, monitoring, and error recovery. Manage source code using Git/GitLab and maintain technical documentation. Monitor data pipelines, troubleshoot issues, and improve system performance and reliability. Work with technical teams and stakeholders to translate requirements into practical data solutions. Requirements 4–7 years of experience in data engineering, data platform development, or software engineering. Strong proficiency in Python and SQL. Hands-on experience with data processing libraries such as pandas or Polars. Experi

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