About this role
Our Cloud & Infrastructure Practice is expanding and is hiring an Operational Support Analyst – Level 2 who will be responsible for supporting client data operations and ensuring the smooth and reliable functionality of integrated systems.
Become part of a team of accomplished professionals who collaborate with leading global clients and contribute to shaping the future of technology through innovative and impactful solutions.
what you'll do:
• Ensure 24/7 client support;
• Manage client data operations;
• Resolve support tickets within defined SLAs;
• Troubleshoot data and system-related issues;
• Maintain data accuracy and quality;
• Monitor system performance and identify anomalies;
• Contribute to process improvements and operational efficiency;
• Collaborate with internal teams to ensure service continuity.
Who are you:
• English proficiency (written and verbal);
• Experience with integration platforms (e.g., SnapLogic, MuleSoft, Boomi, or similar iPaaS tools);
• Solid knowledge of relational databases and SQL for data validation and troubleshooting;
• Knowledge of REST and SOAP APIs, including authentication methods (OAuth, Basic Auth, tokens);
• Ability to analyze and troubleshoot integration failures, logs, and error messages;
• Familiarity with JSON, XML, and CSV data formats and transformations;
• Knowledge of programming languages (JavaScript, Java);
• Solid Knowledge in Windows servers, Linux Servers, Docker;
• Understanding of ETL/ELT processes and data mapping concepts;
• Ability to perform root cause analysis and provide quick resolution to production issues;
• Version control experience (Git) and understanding of deployment/release processes;
• Experience with ticketing and monitoring tools (e.g., ServiceNow, Splunk, Grafana or similar).
We appreciate the interest of all applicants. Please note that only those whose qualifications align closely with the position requirements will be contacted for the next steps in the selection process.
All applications will be handled with confidentiality.
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