The marketing technology team sits at the heart of NTUC Centre of Excellence to drive marketing automation and personalization for all NTUC social enterprises. The team exists to build a proprietary campaign management system to automate the digital marketing operations and personalize the ad delivered to individual customers on both owned media and external media such as Google, Facebook, email or company website or app. The system connects core corporate backend and digital marketing channels via API, providing marketing data service, creative automation, and campaign automation service to automatically launch and optimize data-driven digital marketing campaigns. We aim to take away all the heavy-lifting and repetitive operations from marketers and let them focus on the real marketing - innovation, customer journey, and creatives. We believe marketing should be treated and built like a product, driven by data in an automated fashion, and always be relevant to customers. Job Description - As a Software/Data Engineer, you will be getting a “first-hand” break to engineer centralized marketing data platforms which will include infrastructure setup, building data pipelines, integrate with backend data lakes, and productional machine learning models to become scalable and impactful marketing AI data service. - Develop the API connectivity and service for corporate martech platform to programmatically create or optimize digital campaigns on Google/Facebook ads platform. - Develop data service for data activation on Salesforce marketing cloud platforms for the designated digital marketing use case. - Design, build, support, and optimize new and existing data models and ETL processes. - Develop and support the data pipeline to integrate new data from various data sources with core martech backend. - Develop ETL pipeline for server-to-server integration with ad networks for marketing purposes such as feed files, a custom audience, or offline conversion.
- Advanced degree in computer science, computer engineering, or other technical fields (or) equivalent experience. - 4+ years’ experience having developed data engineering capabilities for large and complex franchises. - Passionate about digital marketing, knowledge or exposure in marketing technology projects around marketing automation/personalization/analytics is a strong plus. - Strong system/schema design, SQL, and ETL/ELT implementation skills. - Anyone pipeline orchestration tool: AWS Batch, Airflow, Jenkins, Oozie, etc. - Hands-on experience in any 1 modern programming language (Java/Python preferred). - Extensive experience of building platforms which are “horizontally scalable”, “highly available (Three 9s or higher)” and “fully automated maintenance” on top of AWS, GCP, Azure, or Ali-Cloud. - Frugality is in your thought and you strongly advocate using open source technologies. - You write Neat, Optimized, Well documented, and Self-maintainable code. - Self-motivated and proactive, willing to learn new things, deliver the best solution in most tense situations.
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