Job Description:
- Provide technical support for RAID-related systems, resolving issues involving SQL & PL/SQL queries, Hive databases, Apache Spark jobs, and Python automation.
- Monitor system performance and identify opportunities for optimization in data pipelines, SQL queries, and Spark processes.
- Troubleshoot and resolve incidents related to data systems—such as Spark jobs, Hive DB, and SQL/PLSQL workflows—ensuring minimal downtime and service continuity.
- Collaborate with development and data engineering teams to apply bug fixes, performance improvements, and system upgrades.
- Conduct root cause analysis of recurring technical issues and implement sustainable solutions.
- Support data integrations, ETL pipelines, and workflows, ensuring efficient execution across systems.
- Automate repetitive support tasks using Python scripts and SQL automation techniques.
- Manage and troubleshoot distributed data processing environments like Apache Spark, ensuring data jobs run smoothly.
- Document incidents, troubleshooting procedures, and solutions to build internal knowledge resources.
- Work closely with cross-functional teams—including Data Engineers, Developers, and Analysts—to deliver timely and effective technical support.
- Assist with system deployments and upgrades while minimizing operational impact.
Requirements:
Mandatory Technical Skills:
- SQL (Very Good): Ability to write complex queries, resolve data-related issues, and optimize database performance.
- Linux (Good): Proficient in shell commands, log analysis, and process monitoring.
Additional / Nice-to-Have Skills:
- Hive: Familiarity with querying and managing big data environments.
- XML: Capable of parsing and handling XML data structures.
- Python: Basic scripting skills for automation and data handling.
Non-Technical Skills:
- Excellent written and verbal communication skills.
- Strong analytical thinking and problem-solving abilities.
Benefits:
- Hybrid working model.
- Social and medical insurance coverage.
- Transportation allowance.