Snowflake Data Engineer optimizing data pipelines using Snowflake for a global life science company. Collaborate with cross - functional teams for data solutions and performance improvements in Madrid.
About the role
- Data Engineer designing and building data pipelines for EY-Parthenon's AI & Data Hub. Collaborating with data scientists and AI engineers to deliver analytics solutions.
Responsibilities
- Design and maintain robust data pipelines for AI applications.
- Ensure data availability, integrity, and scalability across platforms.
- Implement ETL processes to prepare data for analytics and modeling.
- Optimize infrastructure for high-volume and real-time data processing.
- Monitor and troubleshoot data flow to minimize downtime.
Requirements
- A Bachelor’s or Master’s degree in Computer Science, Engineering, or related fields.
- 3+ years of experience in data engineering or similar roles.
- Strong proficiency in SQL, Python, and experience with ETL tools.
- Hands-on experience with cloud platforms (Azure, AWS, or GCP) and data lake/data warehouse solutions.
- Knowledge of big data technologies (Spark, Hadoop) and streaming frameworks (Kafka).
- Familiarity with data modeling, API integration, and CI/CD pipelines.
- Fluent in English (written and spoken).
Benefits
- 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.
- The exceptional EY experience.
Job title
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