About the job
Advansys is a forward-thinking solutions provider dedicated to offering intelligent, modular, and sustainable technology solutions that optimize operations, elevate customer experiences, and propel business modernization. With a talented team of over 400 engineers, we proudly serve over 100 enterprise clients across 14 countries. Our expertise spans a diverse range of premium services, including Business Automation, Industrial Digitization, Low-Code Development, Cloud Services, Warehouse Automation, and Strategic Outsourcing.
Established in 2014, Advansys is a key member of the INTRO Group, a private conglomerate founded in 1980, with extensive investments across various sectors including oil and gas, real estate, specialized engineering, financial investment, food, and manufacturing.
We are currently seeking a knowledgeable RAID Support Engineer to oversee and troubleshoot our data management systems. In this pivotal role, you will address complex SQL & PL/SQL challenges, enhance the performance of Apache Spark jobs, manage and monitor Hive DB, and assist in Python-based automation and scripting. You will collaborate with internal teams to guarantee system availability, reliability, and peak performance.
Key Responsibilities:
- Troubleshoot and resolve technical issues related to RAID systems, focusing on SQL & PL/SQL queries, Hive DB, Apache Spark jobs, and Python automation.
- Monitor system performance and proactively seek optimization opportunities in data pipelines, SQL queries, and Spark jobs.
- Conduct troubleshooting for data systems, including Spark jobs, Hive DB, and SQL/PLSQL processes, to ensure minimal downtime.
- Collaborate with development and data engineering teams to implement bug fixes, performance enhancements, and system upgrades.
- Perform root cause analysis on recurring issues and develop long-term solutions.
- Support data integrations, ETL processes, and workflows, ensuring they operate efficiently across systems.
- Assist in automating routine support tasks using Python scripting and SQL automation.
- Manage and troubleshoot challenges with distributed data processing platforms like Apache Spark, ensuring data jobs perform as expected.
- Document incidents, troubleshooting steps, and solutions to create knowledge base articles for internal use.
- Collaborate with cross-functional teams, including Data Engineers, Analysts, and Developers, to deliver timely and effective support.
- Assist with system deployments and upgrades, ensuring minimal disruption to ongoing operations.
