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Data Engineer (GeBIZ X)
Build and scale enterprise-grade data pipelines and platforms for GeBIZ X, a government procurement product, while driving AI-enabled analytics and ensuring data governance.
Data Engineer, Marketing Intelligence
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.
Backend Software Engineer (SRE) - Cloud Infrastructure
Design and maintain scalable, high-availability cloud infrastructure and SRE practices for a large-scale platform using Kubernetes, Docker, and distributed databases.
Data Engineer(Junior Level)
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.
Data & AI Platform Engineer- #AIDA
Build and maintain data pipelines using PySpark, SQL, Databricks, and Kafka to feed analytics and GenAI systems, while assisting with RAG implementations.
Senior Data Engineering
Build and own a Databricks Lakehouse data warehouse and real-time pipelines for a financial trading business, modeling customer, order, trade, and market data with Kafka, Flink, and Spark.
Backend Software Engineer (SRE) - Cloud Infrastructure Singapore Regular
Build and maintain scalable cloud infrastructure and reliability systems for ByteDance’s global platforms, using Kubernetes, Go, and Python to ensure high availability and cost efficiency.
Senior Manager, Presales Consultant (AI & Data Engineering)
Senior role advising government and startups on AI and data engineering solutions, scoping use cases, and designing scalable tech stacks for digital transformation.
Graduate Big Data Engineer — Live Recommendation Platform
Designs offline data architectures for TikTok’s live recommendation systems, builds scalable storage/compute, and troubleshoots production pipelines with ML teams.
Data Engineer - AVP/Manager
Design and build scalable cloud-native data platforms for a major bank, using Lakehouse architectures, real-time streaming, and AWS to deliver analytics-ready datasets.
Data Engineer (Mid/Senior)
Build and optimize AI-powered data pipelines for Razer’s gaming products, including feature stores, vector databases, and real-time streaming solutions using Python, Spark, and cloud platforms.
Data Engineer (Public Sector)
Designs and builds secure, scalable data pipelines and cloud infrastructure for a public-sector agency using Python, SQL, and modern DevOps tools.
Senior Data Engineer - Intelligence & Data
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.
Senior Data Engineer (Founding Data Engineer)
Build and scale a modern data platform for a MAS-licensed fintech bridging fiat and digital payments, using Snowflake/Databricks and Python/Spark to create pipelines and warehouses that power analytics and reporting.
Senior Data Platform System Engineer (Data Engineering Team) (Data & AI)
Build and maintain SP Group’s enterprise data platform (Cloudera, Talend, Spark) to power analytics, AI, and regulatory compliance for energy operations.
Senior Backend ML Platform Engineer
Build and maintain the ML platform at Visa Hunt, including scalable data pipelines and deployment systems for deep learning models.
Associate Engineer/Engineer, Data Engineering
Builds and maintains scalable data pipelines and frameworks for ingestion, processing, and storage using big-data tools like Spark, Kafka, and Airflow.
Data Engineer (Financial Services)
Build and optimize data pipelines for financial analytics using cloud platforms, Spark, Kafka, and SQL, ensuring data quality and compliance in a trading environment.
Big Data Engineer: Build Scalable Pipelines
Build and maintain scalable data pipelines using Spark and Hadoop to process large datasets and enable analytics for business needs.
Data Engineer, Big Data (Contract)
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.