Senior Data Engineer - Customer Data Platform

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 MarTech 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 MarTech ecosystems

• Identify opportunities for automation, optimization, and innovation

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