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