Senior Data Engineer at Red Hat designing and optimizing 데이터 솔루션 supporting sales and forecasting. Collaborating with teams and applying modern data engineering practices to ensure data quality.
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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Experience level
Salary
Not specified
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Tech skills
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