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Backend Engineer, Business Security - Platform Direction
Backend engineer building anti-fraud and security systems for Shopee’s platform, including device fingerprinting, WAF, promo fraud detection, and data security tools using Go/Java/Python and big-data stacks.
Senior Java Developer (F2F Interview for final RD with NP within a month)
Lead Java development for a fintech project, designing solutions, mentoring junior engineers, and ensuring CI/CD pipelines and performance testing meet high standards.
Backend Engineer, Data Infrastructure - Platform
Build and maintain Shopee’s central big-data platform, writing scalable backend services in Java/Go/Python to power data ingestion, scheduling, governance, and visualization for thousands of internal users.
Backend Engineer, Data Infrastructure - OLAP
Build and maintain Shopee’s big-data infrastructure and OLAP engines, ensuring scalable storage, real-time processing, and fast analytics for business teams.
IT Senior Full Stack Developer
Build and maintain full-stack financial systems using Java/Spring Boot, Angular, and microservices, ensuring production excellence and collaborating with cross-functional teams.
DevOps Engineer
Build and secure CI/CD pipelines, own production services, and automate infrastructure for a SaaS platform using Kubernetes, Terraform, and cloud providers.
Data Engineering Manager: Lead Scalable Pipelines
Lead a team to build and scale data pipelines using Spark, Hadoop, Kafka, and cloud services, ensuring reliable data flows for analytics and product teams.
Data Engineer Hadoop F/H - Système, réseaux, données
Build and maintain Hadoop-based data pipelines and dashboards in Tableau to support business decision-making for a major client.
Data Engineer Hadoop — Remote 2x/week with Tableau
Builds and maintains Hadoop-based data pipelines and Tableau dashboards to enable business decision-making for a major client, working closely with a data team to extract, transform, and analyze large datasets for actionable insights.
Data Engineer - Manager/Specialist
Lead a team to design, build, and maintain scalable data pipelines and ETL/ELT processes using big data tech like Spark and cloud platforms such as Azure or AWS.
Data Warehouse Engineer Intern (Data Platform, TikTok LIVE) - 2027 Start Singapore Undergraduate/Master Intern - 2027 Start
Build and maintain offline and real-time data warehouses for TikTok LIVE, processing hundreds of billions of records using big data tools like Spark, Hadoop, and Flink.
Data Scientist
Builds predictive models and AI tools for national defense, analyzing spatial and operational data to enhance mission outcomes and threat detection.
Lead Data Scientist
Lead a team building AI/ML models for spatial intelligence, focusing on anomaly detection, predictive analytics, and agent-based modeling to support defense and intelligence missions using Python, SQL, and cloud-native tools.
Senior Data Science Engineer
Salary: £95,000 - 95,000 per year Requirements: Experience designing and delivering production-grade analytical Python solutions Experience working with relational databases and SQL-like operations Understanding of…
Senior Big Data Platform Engineer - Real-Time & Cloud Ops
Own and operate large-scale big data platforms, leading L3 support, managing Hadoop clusters, real-time pipelines, and ensuring reliability and security.
Data Engineer: Pipelines, AWS & Spark Expert
Builds and maintains data pipelines and ETL processes for financial-sector projects using Python/Java, Spark, AWS, and Airflow.
IT Data Engineer
Build and maintain ETL pipelines and data warehouses using SQL Server, SSIS, and cloud tools to move and transform enterprise data.
Data Engineer
Build and maintain data pipelines and ETL workflows for a BFSI company, using Python/Java, SQL, Spark, Hadoop, and AWS services.
Data Engineer - (Public Sector)
Build and maintain data pipelines and warehouses, clean and transform data, and collaborate with teams to deliver scalable analytics solutions for government clients.
Associate Data Engineer
Builds and optimizes SQL queries to extract insights, automate reporting, and troubleshoot data issues for BI needs, while collaborating with business teams to ensure data accuracy and deliver dashboards/alerts using tools like Looker or Power BI.