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