Job Description
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 , Java Script 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 Big Query
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 Big Query, Presto, and Treasure Data queries for performance and cost
Support BAU operations, incident management, and production stability
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 , Java Script 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 Big Query
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 Big Query, Presto, and Treasure Data queries for performance and cost
Support BAU operations, incident management, and production stability
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