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 to build a better working world. FDL L2 Operations Specialist - Staff Finance Data Lake (FDL) L2 Operations | min 2 Years Experience | B.E In CS/IS/Equivalent 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 to build a better working world. About the Role Join the FDL (Finance Data Lake) L2 Data Operations team in EY GDS India and play a pivotal part in supporting a complex, multi-technology data ecosystem. This role is ideal for early-career IT professionals who are eager to develop their expertise in ETL tools, workflow management, and cloud data platforms, while honing their operational and communication skills in a collaborative setting. Key Responsibilities Troubleshoot and work on day-to-day data lake operations, including job faiures and ETL failures, Data Quality Issues, data pipelines, and system health using Databricks /Spark/ETL tools, Airflow and other tools and technologies. Respond to alerts and notifications, ensuring timely resolution of complex data issues and incidents. Perform SOP-based issue resolution and beyond the SOP based issue resolution through deep dive and troubleshooting skills of job failures or operational anomalies. Communicate effectively with stakeholders, providing clear notifications, updates, and support as required. Collaborate proactively with various technical teams to ensure seamless operation and quick remediation of issues. Document incidents, resolutions, and standard processes to contribute to team knowledge bases and continuous improvement. Willingness to work in Shift based model of support including weekends Required Skills & Qualifications Bachelor’s degree (B.E.) in Computer Science (CS), Information Science (IS), or equivalent from a reputed university. Must Have Experience with Databricks Spark-based ETL troubleshooting. Strong understanding of ETL processes and data pipeline management. Proficiency in data lake operations and maintenance. Excellent problem-solving and analytical skills. Ability to work in a fast-paced, dynamic environment. Min 2 years’ experience in IT operations, with exposure to data platforms or cloud environments. Hands On SQL. ITIL Foundational concepts & understanding is must to have Good To Have Basic hands-on skills with at least one ETL tool (such as Nifi, Informatica, Talend/TAC, or similar) is good to have Exposure to workflow orchestration tools, preferably Airflow. Fundamental knowledge of Azure cloud services and concepts. Strong communication skills for stakeholder engagement and inter-team collaboration. Ability to debug issues in ETL/Data Analytics world, beyond standard SOPs and quickly troubleshoot routine operational issues. Additional Requirements: Willingness to learn, adapt, and grow within a high learning curve environment. Experience working within financial data platforms or related domains. Exposure to multi-technology environments or large-scale data operations. Familiarity with incident management and escalation processes. Why Join Us? Be part of a collaborative, growth-oriented team at the heart of finance data transformation. Opportunities for learning and development across modern data and cloud technologies. Engage in meaningful operational work with visibility across multiple technical domains. EY | Building a better working world EY is building a better working world by creating new value for clients, people, society and the planet, while building trust in capital markets. Enabled by data, AI and advanced technology, EY teams help clients shape the future with confidence and develop answers for the most pressing issues of today and tomorrow. EY teams work across a full spectrum of services in assurance, consulting, tax, strategy and transactions. Fueled by sector insights, a globally connected, multi-disciplinary network and diverse ecosystem partners, EY teams can provide services in more than 150 countries and territories.