Data Engineer

Responsibilities Develop and implement data pipelines and manage data flow between different systems, ensuring data accuracy and reliability Build business logic on the Splunk platform, including dashboards, visualizations, complex analytics, and alerts Manage and maintain the solution in a Linux environment, including installations, upgrades, configuration, and ongoing support Integrate with other systems and consume data using APIs and other interfaces Requirements Proven experience as a Data Engineer, including ETL processes, data pipelines, and integration between multiple data sources Experience working with Linux systems Strong scripting skills (Python, Shell) Experience building data-based applications such as dashboards, reports, analytics, or monitoring systems Experience with Splunk – a strong advantage Experience with additional data analytics tools (e.g., ELK, Grafana, Power BI) – an advantage Bachelor’s degree in Information Systems, Computer Science, or a related field – an advantage