Real-Time S2S Data Pipeline Development
Budget: $3,000 – $5,000 USD
Scope of Work:
Design and implement secure, scalable S2S pipelines for ingesting and processing event-level data from multiple sources. Enable real-time data streaming, transformation, and enrichment to support advanced segmentation and targeting use cases. Develop data workflows optimized for activation into DSPs (including DV360 and The Trade Desk) and downstream analytics environments. Support the integration of machine learning models for predictive analytics, audience scoring, and optimization. Ensure best-in-class data governance, compliance, and observability across the stack.
What We’re Looking For:
Proven experience deploying RudderStack with Snowflake at production scale.
Strong understanding of event-driven architectures, RESTful APIs, and real-time pipelines.
Experience with activation into DSPs or marketing platforms is a significant plus.
If this matches your skill set, please include examples of similar S2S pipelines you’ve built, especially those involving real-time data flows, activation layers, or ML-driven optimization.
Design and implement secure, scalable S2S pipelines for ingesting and processing event-level data from multiple sources. Enable real-time data streaming, transformation, and enrichment to support advanced segmentation and targeting use cases. Develop data workflows optimized for activation into DSPs (including DV360 and The Trade Desk) and downstream analytics environments. Support the integration of machine learning models for predictive analytics, audience scoring, and optimization. Ensure best-in-class data governance, compliance, and observability across the stack.
What We’re Looking For:
Proven experience deploying RudderStack with Snowflake at production scale.
Strong understanding of event-driven architectures, RESTful APIs, and real-time pipelines.
Experience with activation into DSPs or marketing platforms is a significant plus.
If this matches your skill set, please include examples of similar S2S pipelines you’ve built, especially those involving real-time data flows, activation layers, or ML-driven optimization.