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Senior Associate/Assistant Vice President, AI Data Engineer
Build AI-ready data pipelines and knowledge systems for an investment firm’s agentic AI, integrating structured financial data, unstructured research, and real-time feeds into vector stores, graph databases, and retrieval pipelines.
Associate, Backend Application Developer, Data Platform, Group Technology
Build and maintain scalable data pipelines and frameworks for AI/ML use cases using Java, Spring Boot, and cloud-native tools to support DBS Bank’s data-centric enterprise solutions.
Data Engineer for AI‑Driven Public Platforms
Design and scale enterprise-grade data pipelines and platforms for GeBIZ X, a government procurement product, while integrating AI/ML capabilities to drive insights and decision-making for public officers and suppliers.
Senior Data Engineer - Game
Build and maintain offline and real-time data warehouses for a global gaming unit, optimizing ETL pipelines and ensuring reliable online services using big-data tech like Spark, Flink, and Kafka.
#EG Data Engineer (Databricks)
Build and maintain scalable data pipelines on Databricks and Azure, integrating diverse sources and enabling analytics and ML workloads with PySpark and Delta Lake.
Backend Engineer - Real-Time, Scalable Live Streaming
Build and optimize TikTok’s real-time, large-scale distributed infrastructure for live streaming, ensuring seamless global interactions between streamers and audiences.
Senior Data Engineer
Build and optimize distributed data pipelines and AI analytics for networking using Spark, Kafka, Delta Lake, and Kubernetes in a cloud-native environment.
Big Data Engineer - Data analytics Expert
Builds and optimizes Huawei’s big-data stack, ETL pipelines, and search/recommendation systems using Spark, Hive, Hadoop, and Python/Java/Scala.
Backend Engineer Intern — AI-Driven Banking Platform (SG)
Backend engineering intern building scalable, secure banking systems and exploring AI tools to optimize financial services and developer workflows.
Java Backend Engineer - Spring Microservices & Kafka
Designs and builds Java microservices with Spring Boot/Cloud and Kafka for secure, scalable backend systems.
Backend Engineer (Server R&D Engineer), Game Security
Backend engineer building and maintaining a game security framework to detect and mitigate risks in game development and operations using Go, microservices, and high-concurrency systems.
M22 - Data Engineer
Design and maintain scalable data pipelines, ETL processes, and data warehouses using Python, SQL, and cloud tools to support analytics and business intelligence for enterprise clients.
Data Engineer
Build and maintain scalable data pipelines in Python and AWS to feed AI platforms and BI tools, ensuring high-quality data for analytics and decision-making.
Backend Engineering Intern — Java, Spring Boot & APIs
Build backend services with Java and Spring Boot, implement REST APIs, and learn Kafka integrations while collaborating with dev, QA, and DevOps teams.
Senior Data Engineer
Design and build AI-powered, cloud-based data pipelines and warehouses for telco and geospatial analytics, integrating 4G/5G infrastructure with retail and healthcare data using PySpark, Airflow, and AWS.
Senior Java Backend Engineer - High-Performance Systems
Senior Java backend engineer building high-concurrency, high-availability services using Java, Node.js, Kafka, Redis, and MySQL for a Singapore-based product company.
Data Engineer III - Python/Spark/AWS
Build and maintain scalable data pipelines and cloud-native analytics platforms using Python, Spark, and AWS services to support JPMorgan’s global consumer banking operations.
Data Engineer (Teradata, Informatica, Apache Spark)
Builds and optimizes ETL/ELT pipelines using Teradata, Informatica, and Spark to load enterprise data into warehouses and datamarts, plus automates CDC and MDM workflows.
Java Backend Engineer — Kafka & Microservices
Builds and maintains Java-based microservices, integrates event-driven systems with Kafka, and designs data models for MariaDB and Elasticsearch.
Data Engineer
Designs and builds data pipelines and warehouses for a bank using Hadoop, Spark, and Teradata, enabling analytics and ML model development.