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. · Solid 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

📌 Senior Data Engineer (Tamil Nadu)
🏢 Multi National
📍 Tamil Nadu