Minimum 5 years of experience in DevOps / production support within banking or financial services environment
Strong hands-on experience managing and supporting distributed Big Data platforms (Hadoop ecosystem – HDFS, Hive, Spark, Sqoop, Impala)
Experience in providing L1/L2 production support for mission-critical risk or data processing systems
Proven experience in troubleshooting batch processing failures, analysing application logs and performing root cause analysis
Strong SQL expertise with experience in query optimisation and performance tuning across large datasets
Experience working in Unix/Linux environments with shell scripting for automation and operational tasks
Experience implementing monitoring dashboards using tools such as Grafana
Exposure to CI/CD pipeline processes and tools (e.g. Jenkins) to support application deployments
Experience working with cloud-based object storage solutions such as AWS S3
Knowledge of relational database systems including DB2, MS SQL or MySQL
Understanding of distributed system architecture, high availability concepts and operational resilience
Ability to collaborate with application development, database and infrastructure teams to ensure system reliability and performance

DevOps Engineer