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.
- Robust 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).
- Strong 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

📌 Data Engineer (Chennai)
🏢 Worktual Innovations
📍 Chennai