Data Engineer

We are looking for an experienced Data Engineer to join our Data Platforms domain and work with advanced, large-scale data technologies.

This role involves end-to-end responsibility for data ingestion, processing, and analysis, as well as the development of data-driven applications on the Splunk platform, including dashboards, analytics, and alerts.

Responsibilities

• Design, develop, and implement data pipelines and data streaming processes between multiple systems, ensuring data accuracy, integrity, and efficient handling of various data types.
• Implement business logic on the Splunk platform, including dashboards, visualizations, complex analytics, and alerts.
• Manage and maintain the technological solution in a Linux environment, including installations, upgrades, configuration, and ongoing maintenance.
• Integrate with external systems and consume data via APIs and dedicated interfaces.

Requirements

• Proven experience as a Data Engineer, with hands-on work in ETL processes, data pipelines, and data integration from multiple sources.
• Strong knowledge and experience working with Linux systems.
• Proficiency in scripting languages such as Python and Shell.
• Experience developing data-driven applications, including dashboards, reports, analytics, or monitoring systems.
• Hands-on experience with Splunk – a significant advantage.
• Experience with additional data analytics technologies (e.g., ELK, Grafana, Power BI, etc.) - an advantage.
• Bachelor’s degree in Information Systems, Computer Science, or a related field – an advantage.