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Maltem Asia is seeking a Data Engineer for a Banking Client based in Singapore. The Data Engineer will support the design and implementation of Quantexa-based solutions for Financial Crime (AML/Fraud). The role will…
Build and optimize TikTok’s global search engine backend, focusing on performance, stability, and offline processing for a fast-growing media platform.
Design and deliver AI-ready data platforms, ML pipelines, and GenAI-specific data flows for clients using cloud ecosystems like AWS, Azure, and GCP.
Build and scale AI/ML services and data pipelines in Python/Java, using Docker/Kubernetes and Flask/FastAPI to enable new AI capabilities.
Builds and maintains scalable backend services in Node.js and TypeScript for a government tech initiative, focusing on cloud-native APIs, streaming data, and distributed systems.
Build and maintain ETL pipelines and MDM systems in Java/Spring/Maven to ensure real-time data accuracy for a wealth-management client.
Build and maintain scalable backend systems for TikTok’s Trust and Safety platform, focusing on content moderation, risk detection, and abuse prevention.
Designs and leads cloud-native data platforms for AI workloads on Azure and AWS, mentors teams, and ensures secure, compliant AI delivery.
Build and optimize TikTok’s search engine backend, improving performance, stability, and offline processing for a global short-video platform.
Designs and builds scalable data lakes and AI-driven platforms to power analytics and decision-making for a large media company.
Lead architecture and engineering of high-throughput Go services for financial payment flows, setting direction, mentoring teams, and ensuring reliability and compliance across regions.
Build and scale TikTok’s messaging backend in Singapore, including Streak, Stickers, and Voice/Video Call features, while exploring AI-powered messaging innovations.
Build and scale AI-powered data platforms, integrating LLMs like OpenAI/Anthropic and designing real-time streaming systems to support enterprise GenAI applications.
Design and optimize AI data pipelines, feature stores, and real-time inference systems using Python, Spark, and cloud infrastructure to power machine learning models.
Build and scale identity and account infrastructure for a global payments platform, focusing on security, scalability, and high-availability systems.
Designs and maintains large-scale data pipelines and warehouses using Hadoop, Spark, and SQL, transforming raw data into analytics-ready datasets.
Build and optimize backend systems for TikTok’s global advertising platform, improving ad performance and scalability using Java/Python/Go and cloud infrastructure.
Build and maintain Azure-based data pipelines using PySpark, Synapse, and Azure DevOps to ingest, transform, and orchestrate data for analytics and reporting.
Build and optimize scalable data pipelines on Databricks using Apache Spark, collaborating with data scientists to implement ETL/ELT processes and ensure data quality.
Designs and maintains scalable data pipelines, ETL processes, and warehouses for mission-critical systems, using tools like Informatica, Spark, and Python to support analytics and AI-driven decision support.
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