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Building High Performing Data Engineering Teams

Thursday, May 30, 11AM ET

Key Takeaways

  • The critical role of data engineering teams in maintaining and optimizing an organization's data infrastructure for better decision-making and innovation.
  • Strategies for recruiting and retaining skilled data engineers, fostering a culture of continuous improvement and collaboration within the team.
  • Leadership practices that empower data engineering teams to excel, including setting clear goals, promoting open communication, and providing opportunities for professional growth.

Your Presenter(s)

Liya Aizenberg headshot

Liya Aizenberg

Director of Data Engineering, Away.com

Liya is a seasoned data leader with over 22 years of experience spearheading innovation in scalable data engineering pipelines and distribution solutions. She has built successful data teams that integrate seamlessly with various business functions, serving as invaluable organizational partners. She focuses on promoting data-driven approaches to empower organizations to make proactive decisions based on timely and organized data, shifting from reactive to proactive business strategies. Additionally, as a passionate advocate for Women in Tech, she actively contributes to fostering diversity and inclusion in the technology industry.

Why this matters

Data engineering teams form the backbone of any organization's data function, ensuring that data flows seamlessly and efficiently from source to insight. These teams tackle the critical tasks of designing, building, and maintaining the infrastructure that allows for the storage, retrieval, and analysis of data. Now more than ever, building a high-performing data engineering team has never been more critical.

In this session, Liya Aizenberg, Director of Data Engineering at Away.com, will explore the strategies and best practices for assembling and nurturing a high-performing data engineering team. From identifying and attracting the right talent to fostering a culture of continuous learning and innovation, she will cover the essential components that contribute to the success of a data engineering team.

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