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.
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.
- Hybrid Working Model - Social and Medical insurance - Flexible and Friendly working environment 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 .