Point your AI agent at freehire and let it find you a job. A CLI and an MCP server over the whole job API — no browser.
Build and maintain scalable backend services for PayU’s fintech and payments platform using Node.js, TypeScript, and cloud infrastructure (AWS).
Build and optimize distributed data pipelines using Scala/Java/Python, Spark, Kafka, and Delta Lake/Iceberg, then deploy them on GKE with Helm for AI-driven networking analytics.
Build and maintain data platforms, pipelines, and ML infrastructure for an asset-management firm, using cloud tools like GCP/AWS and BI platforms such as Power BI or Tableau.
Build and maintain Feedzai’s data orchestration platform, integrating diverse data sources and enabling real-time fraud detection for banks and retailers using Java, Kafka, and cloud-native services.
Lead the design and deployment of GenAI solutions for insurance, including RAG pipelines, vector databases, and LLM fine-tuning on AWS to deliver context-aware AI capabilities.
Build and maintain high-performance data pipelines for national security, processing large datasets to extract insights using Scala/Java, Spark, Kafka, and Hadoop.
Design and maintain scalable ETL pipelines and data platforms to process large volumes of product data globally using Python, Scala, or Java.
Designs and builds real-time big-data pipelines using Flink and streaming frameworks to power TikTok’s recommendation engine.
Lead deployment and optimization of GenAI and Agentic AI pipelines, ensuring scalable, compliant operations through automation, monitoring, and governance across platforms.
Build and maintain scalable data pipelines, models, and frameworks to support Illumina’s genomics and healthcare analytics, using Python/Scala/Java and containerization tools.
Build and maintain scalable data pipelines and warehouses using Python/Java/Scala, Spark, Kafka, and cloud platforms to deliver reliable, high-performance data solutions.
Build and optimize data pipelines and applications using Hadoop, Spark, Python, and Airflow to power Singtel’s 5G, cloud, and analytics platforms.
Maltem Asia is seeking a Data Engineer for a Banking Client based in Singapore. The Data Engineer will support the design and implementation of Quantexa-based solutions for Financial Crime (AML/Fraud). The role will…
Designs and maintains large-scale data pipelines and warehouses using Hadoop, Spark, and SQL, transforming raw data into analytics-ready datasets.
Build and maintain scalable observability infrastructure, including time-series databases and distributed tracing systems, to monitor TikTok's production services and ensure stability.
Design and build scalable data infrastructure for a media company, including data lakes, customer platforms, and AI-powered analytics to drive audience and business decisions.
Build and scale TikTok’s ad data platform, designing streaming/batch pipelines and OLAP systems to process petabyte-scale datasets that power advertiser decisions.
Build and optimize big-data pipelines using Spark, Scala, Elasticsearch, and Quantexa software on OpenShift, integrating data for compliance/AML analytics.
Designs and maintains cloud data infrastructure on AWS and Databricks, building ETL pipelines and optimizing storage/processing for analytics using Python/Java/Scala.
Design and maintain scalable data pipelines, ETL/ELT processes, and cloud-based data warehouses using Spark, SQL, and cloud platforms like AWS/Azure/GCP.
We couldn't check your fit for this role — add a CV to your profile to see it next time.