abra R&D is looking for a Data engineer! We are looking for a Data Engineer for RT Big Data Systems to join the team and design and deploy scalable, standardized, and maintainable data pipelines that enable efficient logging, error handling, and real-time data enrichment. The role requires strong ownership of both implementation and performance The role includes: Optimize Splunk queries and search performance using best practices Build and manage data ingestion pipelines from sources like Kafka, APIs, and log streams Standardize error structures (error codes, severity levels, categories) Create mappings between identifiers such as session ID, user ID, and service/module components Implement real-time data enrichment processes using APIs, databases, or lookups Set up alerting configurations with thresholds, modules, and logic-based routing Collaborate with developers, DevOps, and monitoring teams to unify logging conventions Document flows and ensure traceability across environments
Requirements: * Minimum 3 years of hands-on experience in Splunk – Mandatory
* Proficient in SPL, data parsing, dashboards, macros, and performance tuning – Mandatory
* Experience working with event-driven systems (e.g., Kafka, REST APIs) – Mandatory
* Deep understanding of structured/semi-structured data (JSON, XML, logs) – Mandatory
* Strong scripting ability with Python or Bash
* Familiar with CI/CD processes using tools like Git and Jenkins
* Experience with data modeling, enrichment logic, and system integration
* Advantage: familiarity with log schema standards (e.g., ECS, CIM)
* Ability to work independently and deliver production-ready, scalable solutions – Mandatory
This position is open to all candidates.