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Data Engineer/Data Migration Analyst
Designs and executes data migration and reporting transformations for a bank, focusing on SQL scripting, ETL development, and data modeling to modernize legacy systems and ensure accurate data movement between platforms.
Senior Data Engineer
Design and maintain scalable data pipelines and lakehouse/warehouse architectures to power analytics, dashboards, and AI models, automating ETL workflows and enabling MLOps.
Senior Data Engineer Python | Hadoop | AI | Big Data
Build and maintain large-scale data pipelines and AI-ready platforms for a banking client using Python, Hadoop, Spark, and cloud tech to support ML, GenAI, and analytics.
Data Engineer, Global E-Commerce (Governance Service - Risk Control Platform)
Build and maintain scalable data pipelines and infrastructure to support TikTok’s global e-commerce risk-control platform, ensuring data integrity for fraud detection and business strategy.
Data Engineer, Marketplace Intelligence & Data (Campus Recruitment 2027)
Builds data warehouses, real-time systems, and analytics tools for Shopee’s marketplace, using big-data tech like Spark and Kafka to drive product decisions and explore AI/ML applications.
First VP, Senior Data Engineer, Group Technology & Ops
Lead the design and build of enterprise-scale data platforms and AI-ready data assets for a major bank, using Spark, Kafka, Iceberg, and cloud-native tools.
Quantexa Data Engineer
Designs and builds enterprise-scale data pipelines using Quantexa, Scala, and Spark to power risk detection and financial crime solutions.
Associate AI Developer/ AI Developer (Full stack) Artificial Intelligence, SAP Labs Singapore
Build and deploy AI-driven cloud applications and data pipelines, collaborating with global teams to solve real-world business problems using Python, Java, and cloud platforms like AWS/Azure.
Data Engineer
Build and maintain data pipelines, ETL/ELT systems, and warehouses in AWS to feed analytics and ML models, using Python, SQL, Spark and Kubernetes.
Data engineer (Quantexa)
Build and optimize big-data pipelines using Spark, Scala, Elasticsearch, and Quantexa for compliance/AML analytics in a containerized OCP environment.
Senior Big Data Platform Engineer (DevOps/IaC)
Designs, automates, and secures a large-scale big-data platform for AI workloads using Terraform/Ansible and CI/CD pipelines.
Senior Data Platform Engineer – DevOps for Big Data & AI
Design, deploy, and manage a large-scale data platform for analytics and AI, optimizing Hadoop ecosystem components and ensuring reliability and security.
SGunited Jobs Full Stack Developer(Angular)
Build and maintain full-stack applications using Java, Spring Boot, and Angular, deploying on Kubernetes and Docker in a cloud-native environment.
Intermediate Java Developer
Builds and maintains Java-based financial software using Spring, Kafka, and big-data tools like Hadoop; follows Agile to deliver scalable solutions and resolve production issues.
Data Platform Engineer (Cloudera)
Engineer and maintain a Cloudera Hadoop data platform, tuning clusters, securing services, and optimizing Spark/Hive/Impala workloads for a banking environment.
Cloudera Data Platform Engineer - Hadoop, Spark & ML
Manages Cloudera Data Platform and related services, handling cluster monitoring, Linux tuning, security, and data replication for big-data workloads.
AI/ML Engineer — GenAI & Data Platforms
Build and deploy generative-AI features and agents using Python, LLMs, and cloud services; develop full-stack web apps with Django/Flask and CI/CD pipelines.
Data Engineer
Data Engineer consults on big-data solutions, designs cloud and on-prem databases, and delivers tutorials and code samples for clients using tools like Hadoop, Spark, and Google BigQuery.
Data Engineer
Builds and maintains data pipelines, cleans and normalizes datasets, and secures databases to support analytics and compliance in a fintech-like product company.
Data Engineer
Designs and maintains data infrastructure and ETL pipelines for a large Indonesian conglomerate, using tools like Kafka, Spark, and BigQuery to process and analyze vast datasets across multiple industries.