Job Summary

The Customer Data Platform (CDP) Engineering team sits at the intersection of data engineering and audience intelligence, playing a critical role in how Cond Nast understands and engages its global consumer base. The team is responsible for building and operating the pipelines, identity resolution systems, and audience activation workflows that power personalised experiences and marketing across more than a dozen international markets. Our work spans the full data journey - from raw data ingestion and user unification to audience segmentation and real-time activation across marketing channels.

We are seeking a Data Engineer 2 to join the CDP team. In this role, you will design, build, and maintain the pipelines and workflows that ingest consumer data from multiple sources, resolve user identities at scale, build audience segments, and activate those audiences to downstream marketing platforms. You will work across a globally distributed system serving markets including the US, UK, EU, Japan, and more - partnering closely with data scientists, analysts,



and product managers to deliver reliable, high-quality data infrastructure.

Location: Chennai, TN
Responsibilities

Responsibilities include, but are not limited to:
- Design, build, and maintain batch data ingestion pipelines that pull consumer data from sources including behavioral events, subscriptions, e-commerce, email platforms, and third-party APIs
- Develop and maintain Digdag workflows within Treasure Data to orchestrate multi-step data pipelines across ingestion, transformation, and activation stages
- Write SQL and Python to transform raw data into clean, unified datasets used for audience segmentation, reporting, and downstream activation
- Contribute to identity resolution (user unification) pipelines that stitch together consumer identities across devices, brands, and markets at scale
- Build and maintain audience activation workflows that export segmented user data to marketing platforms

📌 Data Engineer II (Chennai)
🏢 Condé Nast India
📍 Chennai