Key Responsibilities

• Design and build scalable distributed data systems supporting both batch and real-time workloads.

• Develop and optimize streaming pipelines using technologies such as Kafka and event-driven architectures.

• Implement high-throughput, low-latency backend services that power data activation and customer-facing APIs.

• Improve system performance, scalability, reliability, and cost efficiency across large-scale production environments.

• Contribute to data modeling strategies, storage optimization, and compute efficiency across platforms.

• Enable AI-driven workflows by building robust data pipelines and execution layers that support downstream intelligence.

• Collaborate with product, AI/ML, and platform teams to deliver end-to-end solutions.

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