Client: Top 10 Multinational Bank in Romania
Office Location: Bucharest
Contract Duration: At least 12 months
Project No.: 011404

General

We are looking for Junior DevOps Engineers to support critical ETL platforms for our banking client, growing hands-on skills in Linux, Oracle, monitoring and automation.

 

Responsibilities/Activities

  • Work side by side with a senior DataStage engineer to support IBM DataStage services and ETL operations, including job monitoring, common failure investigation, log collection and documented recovery steps

  • Help with releases, deployments, patching and maintenance, then validate services and ETL jobs after changes are completed

  • Monitor production and non-production Data Lake and Data Warehouse services, using dashboards and alerts to spot availability, capacity or performance issues and escalate them quickly

  • Handle day-to-day incidents with guidance: triage issues, collect diagnostic evidence, run approved recovery procedures, communicate progress and support root-cause analysis

  • Assist with Red Hat Enterprise Linux operational work such as service checks, log review, filesystem and resource monitoring, certificate tracking and post-maintenance validation

  • Perform approved basic Oracle operations, including health and alert checks, tablespace monitoring, user/schema administration, basic SQL investigations, backup-status checks and assisted Data Pump schema refreshes

  • Escalate advanced database work such as complex performance tuning, RMAN operations, AWR interpretation and recovery activities to senior DBAs with clear evidence and context

  • Create and improve small Shell scripts and, where useful, Python automations; contribute reviewed changes to GitHub Actions and/or Azure DevOps pipelines

  • Keep Grafana monitoring, runbooks, recovery procedures and support documentation accurate, and contribute to ServiceNow Incident, Problem and Change Management plus audit, risk and security activities

Requirements

Technical

  • 1-3 years of total professional experience

  • At least 1 year of relevant hands-on experience in DevOps, platform/production operations, IBM DataStage or a comparable ETL environment

  • Basic practical knowledge of IBM DataStage or another ETL platform, including ETL jobs, monitoring and common operational troubleshooting

  • Basic Linux command-line skills and motivation to build stronger operational Linux knowledge; Red Hat Enterprise Linux exposure is useful

  • Basic Shell scripting skills and an interest in making recurring operational tasks safer and more automated

  • Foundational SQL and relational-database knowledge, with the ability to carry out simple investigations and understand common database operational concepts

  • Basic understanding of monitoring, incident handling, version control and CI/CD concepts

  • Comfort following runbooks, change controls, review/approval steps and documented recovery procedures in production environments

Education

  • Bachelor’s degree in Computer Science, Software Engineering or a related field.

Others

  • Good oral and written communication skills (English and Romanian)
  • Structured troubleshooting mindset with strong attention to detail
  • Clear communication when documenting incidents, changes, technical findings and outcomes
  • Willingness to learn from a senior engineer, ask for help when needed and gradually take on more operational responsibility
  • Reliable and disciplined approach to production support, security, audit and compliance procedures
  • Curiosity, ownership and a continuous-improvement mindset

Nice to have requirements

  • Exposure to Oracle Database 19c, 21c or 23c, Oracle Exadata, database monitoring, user/schema administration or Data Pump
  • Experience with Grafana and/or ServiceNow

  • Python scripting for operational automation

  • Practical exposure to GitHub Actions or Azure DevOps pipelines

  • Terraform or other Infrastructure as Code tools

  • Understanding of Data Lake, Data Warehouse or enterprise data-platform concepts

  • Experience working in Agile/DevOps delivery environments

  • Exposure to AI-assisted engineering tools for troubleshooting, automation or documentation

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