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Data Engineer – QA investigates data issues in ETL pipelines and reports, ensuring accuracy by cross-checking source and destination datasets with SQL.
Build and maintain scalable backend systems in Java/Scala for Agoda’s AI-driven customer platforms, ensuring high availability and robust CI/CD pipelines.
Develops and maintains IoT data transmission systems using Node-RED and Modbus TCP/IP, ensuring data integrity and security.
Build and maintain ETL pipelines to integrate and transform data from multiple sources into centralized storage systems using tools like Databricks or Snowflake.
Build and maintain scalable data pipelines and BI dashboards for a fintech company, using big data tech like Spark and cloud platforms such as GCP.
Build and scale backend microservices in Java/Kotlin for Airwallex’s global payments platform, focusing on onboarding, KYC, and secure financial integrations.
Builds and optimizes data pipelines in Snowflake and Azure Data Factory, designs data models, and translates business needs into technical solutions for analytics and reporting.
Build and optimize data pipelines to support analytics and business insights using Python, SQL, and cloud tech.
Design and build enterprise data architecture, pipelines, and governance for public-sector clients using SQL, ETL tools, and cloud platforms like AWS/Azure.
Designs and secures backend systems for Google’s payments infrastructure, focusing on cryptography and risk mitigation for services used globally.
Build and deploy Python ETL pipelines, AI agent workflows, and cloud infrastructure to transform maritime data into actionable insights for the global shipping industry.
Lead a backend security and authorization engineering team at Coupang, defining strategy and architecture for secure, scalable services in Singapore.
Leads AI data engineering at a Singapore government agency, designing scalable data pipelines and governance for AI systems that support national security.
Lead a team of engineers to build and deploy AI/GenAI systems on Databricks' lakehouse platform for enterprise clients, driving data-driven business outcomes.
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 maintain scalable data models and ETL pipelines for a global fintech platform, ensuring clean, reliable data for analytics and AI use cases.
Build and deploy AI applications and data pipelines for a Singapore government agency, ensuring security compliance and operational reliability.
Designs and optimizes scalable REST/GraphQL APIs in Python while collaborating with AI research teams to validate and improve models.
Build and lead data infrastructure for AI-driven semiconductor manufacturing, including ETL pipelines and governance.
Build and secure data infrastructure for AI-driven semiconductor manufacturing, including ETL pipelines, data lakes, and governance for LLM applications.
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