Consulting - FDL L2 Operations Specialist - Senior
Ernst Young · Hyderabad · onsite · Posted 44d ago
Undisclosed3–8 yrsfulltimeSourced from
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About this role
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.
- 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.
- 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.
- 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.
- 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 stakeholder management abilities.
- Ability to work independently while contributing to a team environment.
- Learning mindset with the ability to adapt to evolving technologies.
- Bachelor's degree in Computer Science, Information Science, Engineering, or a related discipline.
- 3-8 years of experience in IT operations, data platform support, or cloud-based operational environments.
- Experience troubleshooting Databricks and Spark-based ETL processes.
- Strong understanding of ETL workflows and data pipeline management.
- Experience supporting data lake environments and data platform operations.
- Hands-on SQL expertise.
- Understanding of ITIL foundational concepts and incident management processes.
- Strong troubleshooting skills across data and analytics platforms.
- Experience monitoring and supporting enterprise applications and data systems.
- Ability to investigate and resolve operational issues beyond documented procedures.
- Experience working within structured support and escalation frameworks.
- Experience with ETL tools such as Informatica, NiFi, Talend/TAC, or similar technologies.
- Exposure to workflow orchestration tools, preferably Apache Airflow.
- Basic knowledge of Microsoft Azure cloud services.
- Experience supporting financial data platforms or enterprise data ecosystems.
- Familiarity with large-scale, multi-technology operational environments.
Sourced from naukri
Skills
Automationanalytical thinkingcloud servicesApachedata operationsapache airflowanalytics platformsbusiness dataAnalyticsData LakeCapital MarketscloudCommunication SkillsMicrosoft AzureData Pipeline
About Ernst & Young
Ernst Young
Management Consulting
44k+
employees
2002
24 years old
Gurgaon / Gurugram, Haryana
India
₹15.3L PA avg
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