Hybrid Manager of Data Engineering

Join a dynamic team as a Manager of Data Engineering in a hybrid work model. This long-term role focuses on developing scalable data platforms for investment management.
We are looking for a proactive Manager, Data Engineer to spearhead the design and optimization of cloud-native data platforms. You will leverage your strong hands-on experience in big data technologies and collaborate with stakeholders across various teams. The ability to deliver engineering solutions independently is crucial.
Key Responsibilities:
• Architect and optimize Spark workloads in cloud-native environments
• Build data pipelines with Python and PySpark
• Collaborate with stakeholders to create data solutions
• Ensure performance and reliability of data systems
• Support production readiness through documentation and monitoring
Requirements:
• Extensive experience with Python, PySpark, and Apache Spark
• Familiarity with Databricks and AWS services like Glue
• Experience in ha...