Job Title: Senior Data Engineer – Customer Data Platform (CDP) About the Role We are looking for an experienced Senior Data Engineer – Customer Data Platform (CDP)

to design, build, and operate an enterprise-scale Customer Data Platform that unifies customer data from multiple source systems into a centralized Customer 360 platform. You will develop scalable data pipelines, implement identity resolution, build real-time data processing solutions, and enable customer insights for CRM, Marketing, Analytics, AI/ML, Contact Center, Campaign Management, and other enterprise applications.

Key Responsibilities ·

Design and build scalable Customer Data Platform solutions. ·

Develop ETL/ELT, CDC, and real-time streaming pipelines. ·

Build and maintain Customer 360 profiles, golden records, and identity resolution capabilities. ·

Develop data models, customer segmentation, and profile enrichment pipelines. ·

Integrate customer data with downstream applications through APIs, event streaming, and Reverse ETL. ·

Ensure data quality, governance, security, and compliance. ·

Optimize data pipelines, monitor platform performance, and troubleshoot production issues. ·

Collaborate with Product, Marketing, AI/ML, Analytics, and Engineering teams to deliver scalable customer data solutions. ·

Mentor junior engineers and contribute to architecture and engineering best practices.

Required Skills & Experience ·





6+ years of experience in Data Engineering with at least 3 years in Customer Data Platforms (CDP), Master Data Management (MDM), or Customer 360 solutions. ·

Strong expertise in SQL, Python and/or Scala, Apache Spark/PySpark. ·

Hands-on experience with cloud data platforms such as Databricks, Snowflake, BigQuery, or Redshift. ·

Experience with real-time streaming technologies (Kafka, Kinesis, or Pub/Sub). ·

Robust knowledge of ETL/ELT, CDC, data modeling, SCD, and data warehousing. ·

Experience implementing customer identity resolution and Customer 360 solutions. ·

Hands-on experience with Neo4j or other graph databases. ·

Experience with AWS, Azure, or GCP. ·

Familiarity with Reverse ETL, REST APIs, and event-driven architectures.

Preferred Skills ·

Experience with Delta Lake, Apache Iceberg, or Apache Hudi. ·

Knowledge of data governance, privacy, and consent management. ·

Experience supporting AI/ML and analytics data platforms. ·

Exposure to enterprise-scale customer data platforms handling high-volume data processing.

Technology Stack Languages

SQL, Python, Scala Data Processing:

Apache Spark, PySpark Graph Database:

Neo4j Data Platforms

Databricks, Snowflake, BigQuery, Redshift Streaming:

Kafka, Kinesis, Pub/Sub CDC:

Debezium, Fivetran Cloud:

AWS, Azure, GCP Data Lake:

S3, ADLS, GCS, Delta Lake, Iceberg, Hudi Integration:

REST APIs, Reverse ETL, Webhooks

📌 Senior Data Engineer (Chennai)
🏢 Multi National
📍 Chennai