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Backend Engineer (Server R&D Engineer), Game Security
Backend engineer building and maintaining a game security framework to detect and mitigate risks in game development and operations using Go, microservices, and high-concurrency systems.
Senior Data Engineer
Senior Data Engineer builds and optimizes petabyte-scale ETL pipelines and dbt models, integrating AI tools to automate metadata, monitoring, and performance tuning for a global travel-experiences platform.
Senior Backend Engineer - Large-Scale Data & AI Systems
Design and build offline computing systems for TikTok’s large-scale recommendation infrastructure using Java/Python and big-data tools like Flink and Spark.
Data Engineer, Global Risk & Anti-Fraud
Build and maintain real-time and batch data pipelines for risk and anti-fraud systems, including feature stores, device fingerprinting, and behavior analytics using Java/Scala/Python, Flink, Spark, and ClickHouse.
Data Engineer (Teradata, Informatica, Apache Spark)
Builds and optimizes ETL/ELT pipelines using Teradata, Informatica, and Spark to load enterprise data into warehouses and datamarts, plus automates CDC and MDM workflows.
Data Engineer
Build and scale a global data platform for a consumer internet company, designing data warehouses and pipelines to support content, e-commerce, and advertising ecosystems.
Data Engineer (ML/AI) - Risk Data
Build and maintain ML infrastructure for credit-risk systems, deploying models, optimizing pipelines, and improving data quality and observability.
Backend Engineer - Business Security Data Platform (2027 Graduate)
Builds and maintains backend systems for Shopee’s anti-fraud and data security platforms, using Go/Java/Python and big-data tools like Spark/Flink to support risk analysis and model training.
Data Engineer: Build Scalable Pipelines & Data Warehouses
Design and maintain scalable data pipelines for a global gaming brand, processing large datasets and optimizing ETL workflows with Spark, Hive, Flink, and Kafka.
Senior Software Engineer, Data & AI Infra
Build and maintain scalable data infrastructure (Kafka, Flink, Spark, Databricks) to power AI initiatives and analytics at a global fintech payments platform.
Big Data Engineer (Libra) - Data Platform
Build and maintain PB-scale data warehouses and ETL pipelines for a large-scale A/B testing platform, using Spark, Flink, Presto, and Hive.
Data Engineer - TikTok, Video-on-Demand
Build and maintain scalable data pipelines and models to power analytics and insights for TikTok’s Video-on-Demand services using Spark, Flink, and distributed OLAP stores.
Backend Software Engineer
Build scalable backend systems and infrastructure for Palantir’s data platforms, using Java, Rust, Go, and open-source tools like Cassandra and Kafka to power secure, high-performance data solutions for global institutions.
Data Engineer
Designs and maintains scalable data pipelines and warehouses, using PySpark, Spark, Hadoop, or Flink to turn raw data into reliable analytics assets.
Backend Engineer - AML Engine Orchestration Singapore Regular
Build and optimize distributed orchestration frameworks for large-scale ML training and inference in Kubernetes, focusing on resource efficiency and next-gen recommendation systems.
Data Engineer (Databricks)
Build and maintain scalable data pipelines on Databricks and Azure, integrating diverse sources and ensuring high-quality data for analytics and ML workloads using PySpark, Spark SQL, and Delta Lake.
Big Data Engineer, Data Ingestion
Build and optimize large-scale data ingestion pipelines for real-time systems using Java/Scala/Python/Go and frameworks like Kafka/Flink to support ByteDance’s global AI-driven products.
Senior Data Engineer
Designs cloud data pipelines and warehouses, builds models for analytics and ML, and partners with teams to enable real-time customer personalization using Python, SQL, and GCP/AWS/Azure.
Senior Data Engineer – Finance Data Platform
Own end-to-end data pipelines: ingest, transform, and warehouse financial data using PySpark, Hadoop/Flink, and Python/Scala/Java.
Data Engineer（Senior Level）
Lead the design and build of scalable data pipelines and warehouses to turn mobile, IoT, and app data into ML-driven insights and dashboards.