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Senior Data Engineer
Designs and maintains cloud-based data pipelines and warehouses, builds data models, and partners with ML teams to enable real-time analytics and personalization using tools like BigQuery, dbt, and Airflow.
Software Engineer – AI and Data
Builds and maintains backend services and data pipelines that power AI, media, and scientific platforms, focusing on distributed systems, geospatial data, and cloud-native infrastructure.
Data Engineer（Junior Level）
Build and maintain ETL pipelines, process mobile/IoT/app data, and create reports to support Xiaomi’s overseas data warehouse and analytics needs using Python, SQL, and big-data tools.
Data Engineer (ACRA)
Design and build Singapore’s government-wide data infrastructure, including Databricks-based Lakehouse pipelines and governance tooling, to securely share and derive value from public-sector data.
Data Engineer
Build and maintain data pipelines, ETL processes, and data warehouses using AWS services and Denodo for Tommy Hilfiger/Calvin Klein’s ecommerce platform.
Data Engineer (Databricks)
Design and build scalable data pipelines on Databricks for a government client, ensuring data integrity and availability while supporting users with training and troubleshooting.
Senior Data Engineer
Designs and builds scalable data pipelines, warehouses, and Lakehouse solutions for smart-factory analytics, integrating IIoT sensor data and enterprise systems using Python, Spark, and cloud platforms.
Lead Data Engineer
Lead a team to design and build scalable data pipelines and enterprise data platforms using Databricks, Spark, and cloud services.
Data Engineer Neo4J
Designs and optimizes Neo4j graph models for banking data to detect fraud patterns using GDS algorithms and builds real-time investigation dashboards for AML teams.
Cloud Data Engineer
Designs and maintains cloud data infrastructure on AWS and Databricks, building ETL pipelines and optimizing storage/processing for analytics using Python/Java/Scala.
Data Engineer
Design and maintain scalable data pipelines, ETL/ELT processes, and cloud-based data warehouses using Spark, SQL, and cloud platforms like AWS/Azure/GCP.
Data Engineer
Build and optimize AWS-based data pipelines and Redshift warehouses for a government project, using Python, SQL, and DevOps practices to ensure secure, scalable data infrastructure.
Data Engineer
Designs and builds data pipelines, warehouses, and reporting systems using Python, PySpark, Hive, and cloud platforms to support analytics and visualization tools like Tableau.
Data Engineer, GDT (ESG)
Design and maintain data pipelines and warehouses to power analytics and AI for Singapore’s public sector, using cloud platforms and distributed systems.
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(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.
AVP/VP, Data Engineer, Technology Group
Lead data engineering projects to build and maintain investment data platforms using Python, PySpark, AWS, and Databricks, enabling analytics and AI-driven insights for a sovereign wealth fund.
Senior GenAI Data Engineer — Cloud Pipelines & AI
Builds and optimizes cloud data pipelines for AI workloads, using BigQuery, Dataform/dbt, and streaming systems to enable scalable, high-integrity data flows for GenAI applications.
Data Engineering Lead
Lead the design and implementation of ESG data platforms, ensuring scalable reporting and analytics for sustainability metrics and regulatory compliance.
Data Engineer
Build and maintain data pipelines to extract, transform, and load semiconductor and IoT data into warehouses and lakes for analysts and scientists.