Azure Data Factory & Integration Support Engineer
NTT Ltd. (company site, opens in a new tab)3–6 yrsNoidaHybridDirect career pageEst. 7–14 LPA
Posted 1d ago
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Job description
Structured overview of role & requirements
About This Role
- Provide L2 production and operational support for Azure Data Factory pipelines, MuleSoft APIs, and enterprise integrations ensuring platform stability.
- Monitor, troubleshoot, and resolve incidents within SLA timelines including root cause analysis and coordination of permanent fixes.
- Collaborate with Engineering, Data, and Business teams to support deployments, maintain operational documentation, and participate in on-call and shift handover activities.
Minimum Requirements
- 3–6 years of experience in Application Support, Production Support, or Integration Support, with at least 2 years hands-on supporting Azure Data Factory pipelines in production.
- Proficient in Azure Data Factory, MuleSoft Anypoint Platform, Azure Portal and Azure Monitor, SQL, REST APIs, JSON, XML, and incident management tools such as ServiceNow.
- Ability to work in an SLA-driven support environment including rotational shifts and on-call support.
- Location: India (Hybrid/Remote). Work experience, skills, and location explicitly mentioned. Notice period: Not explicitly mentioned in the JD.
Ideal Candidate Profile
- Experienced engineer with strong technical troubleshooting and operational support skills specifically on Azure Data Factory and enterprise integration platforms.
- Comfortable working in a client-facing, SLA-driven environment supporting production systems and incident resolution.
- Operationally focused with ability to collaborate across technical and business teams to ensure timely resolution and continuous platform availability.