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.
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