EY-GDS Consulting-AI And DATA-Snowflake Data engineer-Senior

At EY, you’ll have the chance to build a career as unique as you are, with the global scale, support, inclusive culture and technology to become the best version of you. And we’re counting on your unique voice and perspective to help EY become even better, too. Join us and build an exceptional experience for yourself, and a better working world for all.

EY GDS – Data and Analytics (D&A) – Snowflake Data Engineer- Senior

We’re looking for candidates with strong technology and data understanding in data engineering space, having proven delivery capability. This is a fantastic opportunity to be part of a leading firm as well as a part of a growing Data and Analytics team

Your key responsibilities:

• 7+ years of experience in data engineering, including at least 2+ years in a leadership or delivery oversight role.
• Strong hands-on experience with Python, SQL, Spark/PySpark, and tools like Databricks, Airflow, Snowflake, Azure Data Factory.
• Demonstrated ability to manage vendor teams and ensure quality delivery across geographically distributed teams.
• Strong communication and stakeholder management skills; experience working with commercial business leads in pharma or life sciences.
• Basic understanding of pharmaceutical commercial data at both country and global levels, including CRM data, sales performance data, field force activity, and syndicated datasets.
• Familiarity with privacy and compliance frameworks relevant to healthcare data (HIPAA, GDPR, GxP).
• Experience working in Agile, cross-functional product teams.
  
  

Preferred Qualifications:

• Direct experience in pharma commercial domains such as market access, promotional analytics, or omnichannel customer engagement.
• Knowledge of HCP/HCO identity resolution, customer 360 strategies, or AI-based targeting and segmentation use cases.
• Exposure to MLOps workflows and how data pipelines support AI product deployment at scale.
  
  

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