EY MS-FDL-L2 Operations Specialist-Senior 

India, Karnataka, Bengaluru 

42018186

Job Description

FDL L2 Operations Specialist - Senior

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.

• Work Location – Bangalore and HYD, KA, IN – Hybrid

• 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

• 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.

• 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.