At EY, you’ll have the chance to build a career as unique as you are, with the global scale, support, inclusive culture and technology to become the best version of you. And we’re counting on your unique voice and perspective to help EY become even better, too. Join us and build an exceptional experience for yourself, and a better working world for all.
The prospect
We are seeking a hands-on and motivated Azure DataOps Engineer to support our cloud-based data operations and workflows. This role is ideal for someone with strong foundational knowledge of Azure data services and data pipelines who is looking to grow in a fast-paced environment. You will work closely with senior engineers and analysts to manage data pipelines, ensure data quality, and assist in deployment and monitoring activities.
Your key responsibilities
- Monitor and support Azure Data Factory (ADF) pipelines and Informatica CDI data ingestion jobs
- Help troubleshoot data movement and transformation issues across Azure Data Lake and Databricks
- Participate in incident resolution, root cause analysis,
and reporting of recurring data issues
- Assist in small enhancements or change requests related to data workflows
- Execute deployment activities using Azure DevOps and maintain operational runbooks
- Collaborate with senior engineers and business teams to support ongoing operations and improvements
- Maintain documentation for SOPs, known issues, and common fixes
- Participate in rotational on-call or shift-based support for business-critical operations.
- You will be responsible for executing tasks with increasing autonomy, applying sound judgment within defined parameters, and contributing to team outcomes. You are expected to demonstrate initiative, resolve routine issues independently, and support junior colleagues.
- You will anticipate and identify risks within engagements and share any issues with senior members of the team.
- In line with EY commitment to quality, you’ll confirm that w
📌 TechOps-CloudOps-DataOps-Staff (Delhi)
🏢 EY Studio+ Nederland
📍 Delhi
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