Found Description
As a Senior Lead/Staff Data Engineer, you will play a pivotal role in architecting, building, and maintaining large‑scale data platforms and pipelines. You will work across distributed systems, large datasets, and cloud-native environments to enable advanced analytics, real-time insights.
In this role, you will design and lead the development of robust data solutions using both Python and Java, collaborate with cross‑functional data, platform, and product teams, and guide engineering best practices across the organization. You will also mentor and empower engineers, ensuring delivery of high‑quality, scalable, and secure data services.
You will be responsible
Leading the end-to-end design and implementation of highly scalable data pipelines, data services, and distributed processing systems using Python and Java. Experience in Migrating large scale data Architecting batch, micro-batch, and real-time data processing solutions using Spark, Kafka, Flink, and cloud-native services...
In this role, you will design and lead the development of robust data solutions using both Python and Java, collaborate with cross‑functional data, platform, and product teams, and guide engineering best practices across the organization. You will also mentor and empower engineers, ensuring delivery of high‑quality, scalable, and secure data services.
You will be responsible
Leading the end-to-end design and implementation of highly scalable data pipelines, data services, and distributed processing systems using Python and Java. Experience in Migrating large scale data Architecting batch, micro-batch, and real-time data processing solutions using Spark, Kafka, Flink, and cloud-native services...