Senior Data Engineer – CDP

Job Title- Senior Data Engineer – CDP (Treasure Data)

Location:

Mohali / Chandigarh (Full-time, Work from Office)

Experience:

5+ Years

What You Bring

Bachelor’s degree in Computer Science, Engineering, Data Science, or related field (Master’s preferred) 5+ years of experience in

Data Engineering , with strong focus on

Customer Data Platforms (Treasure Data) Hands-on expertise in

RT2 , data governance, data unification, identity resolution, and customer profile management Treasure Data CDP certification

(preferred) Experience with

Azure Data Factory

(good to have) Familiarity with marketing technology stacks and CDP platforms Experience with

Google Tag Manager (GTM) , web/app tracking, and digital analytics Proficiency in

Python, SQL, Presto, Hive, Digdag, Embulk , and

Data Warehousing concepts Strong understanding of

real-time and batch data pipelines , data flow management, and storage systems

Your Impact

1️⃣

Real-Time CDP Development & Event Capture Design and implement real-time customer event ingestion using

Treasure Data RT2 , JavaScript SDKs, APIs, and streaming pipelines Define event schemas, tracking plans, and data contracts across web, mobile, and digital channels Partner with product and digital teams to ensure accurate customer journey instrumentation 2️⃣

Google Ecosystem & Analytics Enablement Build and maintain integrations with

GTM, Google Analytics, and BigQuery Ensure seamless data synchronization between Google platforms and Treasure Data CDP Build dashboards and continuously monitor data quality and performance 3️⃣

Customer Profiles, Identity & RT2 Modeling Design and maintain real-time customer profiles using

RT2 modeling 4️⃣

Consent Management & Privacy Engineering Implement consent capture, enforcement, and propagation across ingestion, storage, and activation layers Integrate CDP with

Consent Management Platforms (CMPs) Ensure opt-in/opt-out compliance across downstream activations 5️⃣

DSAR & Data Rights Management Design CDP workflows to support

DSAR use cases

(access, erasure, rectification, portability) Enable customer data discovery, extraction, and deletion across unified profiles and downstream systems 6️⃣

Data Retention, Deletion & Disaster Recovery Implement data retention policies and automated purging mechanisms Support right-to-be-forgotten workflows across real-time and batch data 7️⃣

Customer Activation & Personalization Enable real-time and batch audience activation across marketing and engagement platforms Support use cases like

real-time offers, journey triggers, and next-best-action Monitor and resolve activation latency and data freshness issues 8️⃣

CDP Operations, Monitoring & Optimization Monitor real-time pipelines, event volumes, and RT2 throughput Optimize

BigQuery, Presto, and Treasure Data

queries for performance and cost Support BAU operations, incident management, and production stability