Advansys is a dynamic solutions provider focused on delivering smart, modular, and sustainable technology solutions that enhance operations, improve customer experiences, and drive business modernization. With over 400 skilled engineers, we serve 100\+ enterprise customers across 14 countries. Specialized in a wide array of premium services including Business Automation, Industrial Digitization, Low code Development, Cloud Services, Warehouse Automation \& Strategic Outsourcing. Founded in 2014, Advansys is part of the INTRO Group, a private conglomerate established in 1980 with diverse investments across different business areas, oil and gas, real estate, specialized engineering, financial investment, Food \& manufacturing. We are looking for an experienced RAID Support Engineer who will be responsible for maintaining and troubleshooting our data management systems. In this role, you will provide support for complex SQL \& PL/SQL issues, help with the performance tuning of Apache Spark jobs, monitor and manage Hive DB, and assist with Python\-based automation and scripting. You will work closely with internal teams to ensure system availability, reliability, and optimal performance. **Job description:** * Provide technical support for RAID\-related systems, resolving issues related to SQL \& PL/SQL queries, Hive DB, Apache Spark jobs, and Python automation. * Monitor system performance and proactively identify areas for optimization in data pipelines, SQL queries, and Spark jobs. * Troubleshoot issues related to data systems, including Spark jobs, Hive DB, and SQL/PLSQL processes, ensuring minimal downtime. * Work with the development and data engineering teams to implement bug fixes, performance enhancements, and system upgrades. * Perform root cause analysis for recurring issues and implement long\-term solutions. * Support data integrations, ETL processes, and workflows, ensuring they run efficiently across systems. * Assist in the automation of common support tasks using Python scripting and SQL automation. * Manage and troubleshoot issues with distributed data processing platforms like Apache Spark, ensuring data jobs are running as expected. * Document incidents, troubleshooting steps, and solutions to create knowledge base articles for internal teams. * Collaborate with cross\-functional teams including Data Engineers, Analysts, and Developers to provide timely and effective support. * Assist with deployments and system upgrades, ensuring minimal disruption to ongoing operations. **Requirements:** * Familiarity with big data technologies (e.g., Hadoop, Kafka, etc.). * Experience with Linux * Knowledge of data warehousing and data storage solutions. * Experience in creating automated reports and performance metrics. * Previous experience in customer\-facing support roles or IT support engineering. To Apply Please submit your resume!