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/Py Spark.· Hands-on experience with cloud data platforms such as Databricks, Snowflake, Big Query, 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, Py Spark Graph Database: Neo4j Data Platforms: Databricks, Snowflake, Big Query, 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