Data Support Engineer

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 operationsRequirementsMandatory Technical Skills: SQL (Very Good): Strong ability to write complex queries, troubleshoot data issues, and optimize database performance. Linux (Good): Comfortable with shell commands, log analysis, and process management. Additional / Nice-to-Have Skills: HIVE: Understanding of querying big data environments. XML: Ability to parse and handle XML data formats. Python: Basic scripting for automation or data handling. Non-Technical Skills: Excellent communication (oral and written). Strong analytical and problem-solving skillsBenefitsHybrid working modelSocial and medical insuranceTransportation