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Reposted 6 Days AgoSaved
Hong Kong
Junior
Junior
Financial Services
The Data Engineer will manage, clean, and analyze data to support trading activities. Responsibilities include ETL automation, data anomaly detection, and collaboration with traders and software engineers.
Top Skills: Data VisualizationETLPythonSQL
Reposted 6 Days AgoSaved
Hong Kong
Mid level
Mid level
Financial Services
As a Data Engineer at OKX, you will design and build data pipelines, architect data infrastructure, and ensure data integrity while collaborating with various teams to enhance products and services.
Top Skills: Ali CloudAmplitudeAWSAzureDockerFlinkGCPGitGoHadoopHbaseHiveJavaKubernetesMaxcomputeNoSQLPythonQlikviewScalaSparkSQLTableau
18 Days AgoSaved
Hybrid
Hong Kong
Senior level
Senior level
Fintech • Financial Services • Cryptocurrency • NFT • Web3
Develop and maintain data pipelines for Finance teams, ensuring data quality and timely reporting. Collaborate across teams to translate requirements into technical solutions.
Top Skills: Apache AirflowAWSDockerGitKubernetesPythonSQL
Reposted 23 Days AgoSaved
Hybrid
Hong Kong
Senior level
Senior level
Fintech • Financial Services • Cryptocurrency • NFT • Web3
The Data Engineer will build and optimize a universal data platform, ensuring stability and resource efficiency while managing data pipelines and storage solutions.
Top Skills: AirflowFlinkHadoopSpark
Reposted 6 Days AgoSaved
Hong Kong
Expert/Leader
Expert/Leader
Financial Services
The Senior Data Engineer will design and maintain data processing pipelines using Flink, collaborate with data scientists, and enhance system performance for real-time data solutions.
Top Skills: Alibaba Cloud HologresApache FlinkClickhouseDorisSpark
Reposted 22 Days AgoSaved
Hybrid
Hong Kong
Senior level
Senior level
Fintech • Financial Services • Cryptocurrency • NFT • Web3
The Senior Developer will enhance applications using Java and Python, focusing on scalability. Responsibilities include implementing event processing, managing cloud solutions on AWS, optimizing Kubernetes, and conducting quantitative data analysis. Collaboration with teams to streamline trading and analytics workflows is essential, along with providing technical support for developed systems.
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