Data Engineer

We are looking for an experienced Data Engineer to join our Data Platforms domain and work with advanced data technologies in a dynamic and challenging environment.

This role focuses on designing, building, and maintaining data ingestion and processing pipelines, as well as developing data-driven applications on the Splunk platform (dashboards, analytics, and alerts).

Key Responsibilities

• Design, develop, and implement data pipelines and streaming processes between multiple systems, ensuring data accuracy, integrity, and efficient processing for various data types.
• Implement business logic on Splunk, including dashboards, visualizations, advanced 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 using APIs and dedicated interfaces.
• Collaborate with cross-functional teams to support data-driven insights and monitoring capabilities.

Requirements

• Proven experience as a Data Engineer, including ETL processes, data pipelines, and integration across diverse data sources.
• Strong hands-on experience with Linux systems.
• Proficiency in scripting languages such as Python and Shell.
• Experience developing data-based applications, including dashboards, reports, analytics, or monitoring solutions.
• 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.