EY TechOps - DE CloudOps DataOps Senior 

India, Kerala, Kochi 

866338281

Senior Data Engineer (Application Management)

As part of ouryou will be responsible for supporting, optimizing, and maintaining a modern end-to-end data architecture that spansand

To qualify for the role, you must have:

Bachelor’s degree in a relevant field (Computer Science, Engineering, Data Analytics, or related) or equivalent work experience.

• 3–7 years of experience working across modern data ecosystems, with hands-on proficiency in:
  • Informatica CDI for data ingestion and transformation
  • Azure Data Factory (ADF) for pipeline orchestration
  • Azure Data Lake (ADLS) for cloud storage and data lake architecture
  • Databricks for large-scale data processing (SQL, PySpark, and Delta Lake)
• Experience providing application management support (incident resolution, enhancements, monitoring, and optimization).
• Strong root cause analysis skills across data pipelines, storage layers, and reporting.
• Excellent stakeholder collaboration skills to translate business needs into scalable technical solutions.
• Solid understanding of data governance, performance tuning, and cloud-based data architecture best practices.
• Experience in global delivery models and distributed teams.
• Flexibility in managing work hours due to the volatile nature of Application Management work including ability to do shifts and being on call for critical business requirements.

Ideally, you’ll also have:

• Experience integrating data from a variety of sources including ERP, CRM, POS, and third-party APIs.
• Familiarity with DevOps/CI-CD pipelines in a data engineering context.
• Experience in industries such as retail, finance, or consumer goods.
• Certifications such as:
  • Informatica Certified Developer
  • Microsoft Certified: Azure Data Engineer Associate
  • Databricks Certified Data Engineer

What you will do:

• Provide daily Application Management Support for the full data stack (Informatica CDI, ADF, ADLS, Databricks), addressing service requests, incidents, enhancements, and changes.
• Lead and coordinate resolution of complex data integration and analytics issues through thorough root cause analysis.
• Collaborate with technical and business stakeholders to support and optimize data pipelines, models, and dashboards.
• Maintain detailed documentation including architecture diagrams, troubleshooting guides, and test cases.
• Remain flexible for shift-based work or on-call duties depending on client needs and critical business periods.

What we look for

• Passionate, proactive problem solvers with a strong client orientation.
• Professionals eager to learn and grow in a fast-paced, global delivery environment.
• A chance to work alongside a world-class, multidisciplinary team delivering data excellence to global businesses.

At EY, we’re dedicated to helping our clients, from startups to Fortune 500 companies — and the work we do with them is as varied as they are.
You get to work with inspiring and meaningful projects. Our focus is education and coaching alongside practical experience to ensure your personal development. We value our employees, and you will be able to control your own development with an individual progression plan. You will quickly grow into a responsible role with challenging and stimulating assignments. Moreover, you will be part of an interdisciplinary environment that emphasizes high quality and knowledge exchange. Plus, we offer:

• Support, coaching and feedback from some of the most engaging colleagues around.
• Opportunities to develop new skills and progress your career.
• The freedom and flexibility to handle your role in a way that’s right for you.

EY exists to build a better working world, helping to create long-term value for clients, people and society and build trust in the capital markets.