WebEngage · India
Skills: Python, SQL, AWS, Docker, CI/CD
About WebEngage(https://himalayas.app/companies/webengage):
WebEngage(https://himalayas.app/companies/webengage) is an enterprise-grade customer engagement and retention platform that helps global brands across industries such as e-commerce, fintech, travel, edtech, gaming, media, and consumer apps. and turn data into measurable revenue impact. Trusted by 800+ brands globally, we have strong presence in India, UAE, KSA, SEA, Europe and beyond. WebEngage(https://himalayas.app/companies/webengage) powers intelligent, real-time engagement across the entire customer lifecycle.
We are built for scale. We are built for complexity. We are built for outcomes.
At our core, WebEngage(https://himalayas.app/companies/webengage) is a full-stack retention operating system that combines:
A powerful Customer Data Platform (CDP) Real-time behavioral segmentation and intelligence Omnichannel journey orchestration AI-driven personalization and recommendations Deep analytics, experimentation, and revenue attribution WebEngage(https://himalayas.app/companies/webengage) BLACK: our AI-native layer that brings Agentic capabilities to engagement.
Learn more about us at www.webengage.com
About The Role:
WebEngage(https://himalayas.app/companies/webengage)’s Data Engineering team is the backbone of our analytics, personalisation, and machine-learning capabilities. As a Data Engineer, you will own the end-to-end lifecycle of data — from ingesting raw event streams and third-party feeds to building well-modelled, highly reliable datasets that power dashboards, predictive models, and customer journey orchestration. This is a high-impact, hands-on role where you will work at the intersection of product, analytics, and backend engineering. You will be expected to think beyond just moving data — designing for data quality, pipeline observability, cost efficiency, and long-term maintainability from day one.
Responsibilities:
Pipeline Development & Reliability
Design, build, …truncated… dels, and the trade-off…
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