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We are seeking an experienced data and platform operations professional to support, operate, and continuously improve enterprise-scale scheduling, ETL, database, and cloud platforms. This role focuses on L2/L3 operational support, root cause analysis, and stakeholder collaboration across complex data warehouse and cloud environments, with a strong emphasis on reliability, prioritisation, and service excellence.
Job Responsibility:
Operate and support enterprise scheduling tools such as Control‑M and other job schedulers
Provide L2/L3 operational support for ETL platforms including Ab Initio, SAP BODS, and Informatica
Perform advanced troubleshooting, root cause analysis, and deep‑dive investigations across data and platform tools
Manage broken job recovery, error handling, and proactive issue resolution
Maintain and analyse error logs to identify patterns and improvement opportunities
Work extensively with UNIX/Linux environments, including shell scripting
Develop and support SQL and PL/SQL solutions across enterprise databases
Support Teradata platforms and data warehouse environments
Apply data warehousing and ETL best practices to ensure stability and performance
Follow ITIL processes for incident, problem, and change management
Collaborate with stakeholders to prioritise urgent and high‑impact issues effectively
Participate in on‑call and weekend support rotations to ensure service continuity
Contribute to DevOps and cloud‑based operational practices, including GCP and OCI environments
Requirements:
Graduate or postgraduate in Engineering, Computer Science, or a related technical discipline
8+ years in development and operations roles
Scheduling tools (minimum 5 years)
UNIX/Linux commands and shell scripting (minimum 5 years)
SQL and PL/SQL (minimum 5 years)
Teradata (minimum 3 years)
Solid understanding of data warehousing concepts and ETL architectures
Proven experience in cloud architecture and migration, particularly Oracle Cloud Infrastructure and Oracle Exadata
Knowledgeable in DevOps practices and tools, with exposure to Ansible, Jenkins, and containerisation using Docker
Familiar with GCP operations and agile ways of working
Certified or working towards certification in GCP and/or OCI
A clear communicator who can work calmly under pressure and collaborate across teams
What we offer:
Exposure to large‑scale, global data and cloud platforms
Opportunities to work on complex, business‑critical systems
A collaborative environment that values continuous improvement and learning
The chance to build deep expertise across data operations, cloud, and DevOps practices
On‑call and operational experience that strengthens end‑to‑end ownership and impact