MS-FDL-Data Operation SpecialistMS-FDL-Operation Architect-Manager
EY
- Location
- Hyderabad, TG, IN, 500081
- Work model
- On-Site
- Level
- Mid
Skills
About this role
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.
Consulting - FDL L2 Operations Specialist - Senior At EY, we're all in to shape your future with confidence. We'll help you succeed in a globally connected powerhouse of diverse teams and take your career wherever you want it to go. Join EY and help build a better working world. About Global Delivery Services Global Delivery Services (GDS) refers to EY's worldwide network of service delivery centers. The GDS team plays an important role in EY's strategy by ensuring effective support to EY's growth agenda. Our journey started in 2002 with approximately 200 people. Today, we stand at 80,000+ professionals in ten locations around the world. We operate in Argentina, China, Hungary, India, Philippines, Poland, Sri Lanka, Mexico, Spain, and the United Kingdom. Client service is focused on providing Consulting, Assurance, Tax, Strategy & Transactions, and Knowledge support to our clients around the world. The teams enable account teams worldwide to provide seamless, high-quality, value-added support, helping deliver exceptional client service. The Opportunity EY is seeking a FDL L2 Operations Specialist - Senior to join the Finance Data Lake (FDL) L2 Data Operations team. This role offers an exciting opportunity to support a complex enterprise-scale data ecosystem and contribute to the operational excellence of critical finance data platforms. The successful candidate will work across multiple technologies, including Databricks, Spark, ETL tools, Airflow, and Azure cloud services, ensuring platform stability, incident resolution, and operational efficiency. This position is ideal for technology professionals who are passionate about data operations, troubleshooting, and continuous learning in a dynamic environment. Your Key Responsibilities Data Operations & Incident Management
Support day-to-day Finance Data Lake operations, including ETL failures, job failures, data quality issues, and pipeline monitoring. Investigate, troubleshoot, and resolve operational incidents within defined service levels. Monitor platform health and respond proactively to alerts and notifications. Perform root cause analysis and implement corrective actions to prevent recurring issues. Support shift-based operations, including weekend coverage as required.
Platform Support & Troubleshooting
Troubleshoot Databricks, Spark-based data processing jobs, ETL workflows, and data pipelines. Diagnose and resolve operational anomalies beyond standard operating procedures. Collaborate with development, infrastructure, and platform teams to ensure timely issue resolution. Support workflow orchestration and scheduling platforms, including Airflow.
Stakeholder Collaboration
Communicate operational updates, incident status, and resolutions to stakeholders. Work closely with technical and business teams to ensure seamless platform operations. Participate in incident bridges and escalation processes when required.
Process Improvement & Documentation
Maintain detailed documentation of incidents, resolutions, and operational procedures. Contribute to knowledge repositories and continuous improvement initiatives. Identify opportunities to improve operational efficiency and automation.
Skills and Attributes for Success
Strong troubleshooting and analytical skills. Ability to work effectively in a fast-paced operational environment. Strong understanding of ETL processes and data pipeline concepts. Excellent problem-solving and root-cause analysis capabilities. Effective verbal and written communication skills. Strong collaboration and