Senior Data Engineer - Customer Data Platform

Location: Mohali

Job Title
- Senior Data Engineer – CDP

Location:

Mohali / Chandigarh |  Full-time | Work from Office

We’re looking for a  Senior Data Engineer – CDP  to design, optimize, and scale data pipelines that power personalization, analytics, and marketing activation.

What You Bring (Requirements)

✅ Bachelor’s degree in  Computer Science, Engineering, or Data Science  (Master’s preferred)
✅  5+ years  of experience in  Data Engineering , with strong focus on  Customer Data Platforms (Treasure Data) , data integration, and  ELT/ETL pipelines
✅ Hands-on expertise in  data unification, identity resolution, and customer profile management
✅  Treasure Data CDP certification  (preferred)

✅ Experience with  Mar Tech stacks  and CDP ecosystems (good to have)
✅ Strong proficiency in  Python, SQL, Presto, Hive, Digdag, Embulk , and  Data Warehousing concepts
✅ Solid understanding of  data flow management, scalable data pipelines, and storage systems
✅ Experience handling  real-time and batch data processing

Your Impact

1️⃣ ELT Process Development & Maintenance

• Design, build, and maintain  robust ELT pipelines  to ingest, cleanse, transform, and store customer data in the CDP

• Implement  automated data validation, enrichment, and quality checks

• Optimize workflows for  performance, scalability, and reliability
2️⃣ Customer Data Unification & Identity Resolution

• Own and drive  identity resolution and data stitching strategies  across fragmented data sources

• Create  unified customer profiles  by consolidating data from web, mobile, social, and other channels

• Ensure data accuracy to support  personalized marketing, customer journeys, and analytics
3️⃣ Customer Profile & Segmentation Modeling

• Build and maintain  scalable customer profiles and segmentation models

• Enable marketing teams with  data models for targeted campaigns and personalization

• Continuously refine segmentation by integrating new data sources and evolving business needs
4️⃣ Data Architecture & Infrastructure

• Architect and manage  real-time and batch data pipelines  for large-scale customer data

• Ensure high-performance  query engines  for analytics and reporting

• Maintain strong  data governance, consistency, and accuracy  across systems
5️⃣ Collaboration & Cross-functional Work

• Partner with  data scientists, marketing teams, and business analysts  to translate use cases into data solutions

• Ensure  data availability and integrity  for downstream reporting and decision-making
6️⃣ Platform & Tool Optimization

• Optimize pipelines using  Presto, Hive, Digdag, and Embulk

• Tune SQL queries and workflows to  improve performance, reduce latency, and control costs
7️⃣ Continuous Improvement & Innovation

• Stay current with trends in  CDP, data engineering, and Mar Tech ecosystems

• Identify opportunities for  automation, optimization, and innovation

• Introduce new tools and approaches to scale data engineering infrastructure and evolve CDP architecture