Job
Description
Role Overview: You will be part of the MarTech Data Engineering POD supporting a large-scale ESP migration program from Oracle Responsys to Adobe Journey Optimizer. Your role will involve designing, building, and maintaining data pipelines to enable real-time marketing campaign execution and advanced targeting capabilities across various channels. Key Responsibilities: - Design and develop data ingestion, transformation, and orchestration pipelines using GCP services such as BigQuery, Dataflow, Cloud Composer (Airflow). - Implement and maintain data integrations between Adobe Experience Platform and data lake, ensuring high performance and scalability. - Build and optimize ETL/ELT workflows to support campaign orchestration, preference logic, and audience segmentation. - Implement data quality checks, monitoring, and exception handling frameworks for clean and reliable data. - Collaborate with the team to translate campaign archetypes into data pipelines and orchestration rules. - Support performance tuning, data reconciliation, and defect resolution during testing and hypercare phases. - Participate in Agile ceremonies, sprint reviews, and deployment planning. Key Skills: - Strong hands-on experience in GCP services: BigQuery, Dataflow, GCS, Cloud Composer (Airflow). - Proficiency in SQL for data profiling, transformation, and performance optimization. - Proficiency in Python for pipeline automation, scripting, and orchestration. - Experience in building batch and streaming data pipelines. - Exposure to working with marketing or customer engagement platforms is a plus. - Understanding of data quality, logging, monitoring, and alerting best practices. Preferred Skills: - Experience in Airflow DAG development for complex data pipelines. - Familiarity with MarTech platforms such as Adobe Experience Platform or similar ESPs. - Knowledge of data modeling for campaign orchestration and audience segmentation. - Experience with CI/CD and DevOps principles for data deployments. - Strong troubleshooting and performance tuning skills. Qualification Required: - Bachelors or Masters degree in Computer Science, Information Technology, or a related field. - GCP certifications (e.g., Professional Data Engineer) preferred but not mandatory. If you are passionate about leveraging technology to drive business innovation, possess excellent problem-solving skills, and thrive in a dynamic environment, we encourage you to apply for this exciting opportunity. Join us in shaping the future of data analytics and making a meaningful impact in the industry.,
