GMS-FDL- Data Engineer

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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.
  
  

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