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Backend Software Engineer (SRE) - Cloud Infrastructure
Build and maintain large-scale cloud infrastructure and SRE systems at ByteDance, focusing on storage, computing, and database reliability, automation, and cost optimization.
Data Engineering/Architecture Manager (Public Services)
Design and build enterprise data architecture, pipelines, and governance for public-sector clients using SQL, ETL tools, and cloud platforms like AWS/Azure.
Head, AI Data Solutioning, AI Data Engineering, xData
Leads AI data engineering at a Singapore government agency, designing scalable data pipelines and governance for AI systems that support national security.
Data Engineer II - QuantumBlack, AI by McKinsey
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.
Data Engineer
Build and maintain data pipelines to ingest, transform, and deliver insights for national security analysis using SQL, Python, and big-data tools.
Senior Data Engineer - Square
Build and maintain scalable data pipelines and feature platforms for ML systems at the world’s largest crypto exchange, using Java/Scala and big-data tech like Spark and Flink.
Data Engineer (Data Platform) - Singapore
Build and optimize Plaud’s data platform to power AI-driven productivity tools, focusing on data warehousing, ETL/ELT, governance, and cloud services.
Senior Data Engineer (AI)
Design and maintain scalable data pipelines and lakehouse architectures to power AI models and analytics dashboards, using AWS, Databricks, and Snowflake.
Senior Data Engineer (Founding Data Engineer)
Build and scale a modern cloud data platform for a MAS-licensed fintech bridging fiat and digital payments, using Snowflake/Databricks and Python/SQL pipelines.
Head of Data Engineering
Lead the design and scaling of data infrastructure for a media business, including data lakes, CDPs, and AI-powered analytics products that support editorial, subscriptions, and advertising teams.
Senior Data Engineer: Enterprise Data & AI Pipelines
Designs, builds, and optimizes scalable data pipelines and platforms using SQL, Python, Spark, Airflow, dbt, and AWS services to support analytics and AI initiatives.
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.
Enterprise Data & AI Platform Engineer
Engineer and maintain OCBC’s hybrid cloud data and AI platforms, including Cloudera CDP/CML, Hadoop, Spark, and AWS services like SageMaker and EKS.
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 (Networks)
Build and optimize data pipelines and applications for Singtel’s telecom networks using Hadoop, Spark, Python, and Airflow, and create dashboards with React or Angular.
Data Engineer: Cloud Data Lakes, MDM & Pipelines
Build and maintain cloud data pipelines and master data workflows using Hadoop, Spark, and MDM platforms to deliver reliable business insights.
Backend Engineer - Applied Machine Learning Platform Singapore Regular
Build and maintain ByteDance’s ML platform, handling data processing, model training, and deployment for large-scale deep learning systems powering ads and search.
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.
Data Engineer
Build and maintain ETL pipelines, workflow orchestration, and cloud-based data platforms to move and process financial data reliably and at scale.