Join EY as a Manager II, Data Engineering and lead a team of data engineers to design, develop, and optimize scalable data pipelines and infrastructure.
Requirements
- Hire, mentor and manage a team of data engineers, fostering a culture of innovation, collaboration and continuous learning in data engineering best practices.
- Design, develop and maintain scalable ETL (Extract, Transform, Load) pipelines to efficiently process and integrate structured and unstructured data from multiple sources.
- Build and maintain scalable, fault-tolerant data architectures, ensuring efficient data storage, retrieval and processing across cloud and on-premises environments.
- Oversee the design, implementation and performance tuning of relational and NoSQL databases, ensuring data consistency, security and accessibility.
- Automate data ingestion, transformation and validation processes to enhance data pipeline efficiency and reduce manual intervention.
- Develop cloud-based data solutions using platforms like AWS, Azure, or Google Cloud, leveraging technologies such as Spark, Hadoop and Kafka for large-scale data processing.
- Work closely with data scientists, analysts and business intelligence teams to understand data requirements and develop scalable solutions for analytics and reporting.
- Proactively monitor data pipelines and systems for performance issues, troubleshoot failures and implement preventive measures for system reliability.
- Partner with business and IT leaders to align data engineering initiatives with company goals, ensuring seamless integration of data-driven solutions across departments.
Benefits
- Support, coaching and feedback from engaging colleagues
- Opportunities to develop new skills and progress career
- Flexibility to handle role in a way that’s right for individual
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