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Design and maintain data pipelines and warehouses to power analytics and AI for Singapore’s public sector, using cloud platforms and distributed systems.
Builds scalable streaming and batch data pipelines for TikTok’s ad-data products, ensuring high-quality data for marketing analytics using tools like Spark, Kafka, and ClickHouse.
Builds and maintains ETL pipelines, data warehouses, and analytics for mobile/IoT/app data using Python, SQL, and big-data tools to deliver insights for overseas operations.
Design and build scalable data infrastructure, pipelines, and AI-powered analytics for a media company, enabling data-driven decisions across subscriptions, advertising, and editorial.
Build and optimize Shopee’s e-commerce data warehouse and real-time pipelines using Spark, Flink, Kafka, and SQL to power BI, data products, and ML algorithms.
Build and maintain scalable backend systems in Java/Scala for Agoda’s AI-driven customer platforms, ensuring high availability and robust CI/CD pipelines.
Build and maintain scalable data pipelines and GenAI applications for AI-driven analytics projects, collaborating with data scientists and engineers to deliver ML solutions for clients.
Build and scale Airwallex’s next-gen billing platform in Java/Spring, handling pricing, invoicing, and payments for global businesses with high-concurrency systems.
Build and maintain scalable data pipelines and feature platforms for ML systems at the world’s largest crypto exchange, using Java/Scala and big-data tech like Spark and Flink.
Lead the design and scaling of data infrastructure for a media business, including data lakes, CDPs, and AI-powered analytics products that support editorial, subscriptions, and advertising teams.
Build and optimize distributed data pipelines and AI analytics for networking using Spark, Kafka, Delta Lake, and Kubernetes in a cloud-native environment.
Builds and optimizes Huawei’s big-data stack, ETL pipelines, and search/recommendation systems using Spark, Hive, Hadoop, and Python/Java/Scala.
Lead a team to modernize data platforms by migrating to AWS and building scalable pipelines with Databricks, Informatica IDMC, and Tableau.
Designs and builds cloud data pipelines on AWS and Databricks, architecting storage solutions and optimizing ETL workflows for analytics and reporting.
Build and maintain large-scale offline computing systems for TikTok’s recommendation architecture, using Flink, Spark, and AI stacks like PyTorch to power feeds for over 1 billion users.
Build and maintain data pipelines to track user growth metrics and feed ML models for TikTok’s global products like TikTok and Lemon8.
Senior Data Engineer builds and optimizes petabyte-scale ETL pipelines and dbt models, integrating AI tools to automate metadata, monitoring, and performance tuning for a global travel-experiences platform.
Builds and optimizes cloud-native infrastructure for large-model AI services, focusing on multimodal inference, distributed systems, and high-availability architectures.
Builds and maintains scalable backend services and APIs in Node.js/TypeScript or Java/Scala, integrating enterprise platforms and third-party systems for a SaaS or data-focused product.
Build and maintain scalable data infrastructure (Kafka, Flink, Spark, Databricks) to power AI initiatives and analytics at a global fintech payments platform.
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