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Data Engineer building and optimizing ETL pipelines, data models, and BI workflows using SQL, Power BI, and SSAS for a large technology and telecoms organization in Hong Kong.
Develop, test, and maintain data processing pipelines using PySpark, Python, SQL, and Pandas for data extraction, transformation, and loading from multiple sources.
Data Engineer responsible for designing, maintaining, and improving data lakes, pipelines, batch and real-time processing systems, and metadata infrastructure using Python, AWS services, and big data technologies.
Data/DevOps engineer supporting automated data pipelines and risk reporting using Python, SQL, and Tableau in Hong Kong.
Develop and maintain real-time, scalable data pipelines using SQL and big data tools, ensuring data quality across data lakes and warehouses for business analytics.
Build data pipelines for self-service BI and analytics supporting risk and post-trade teams at Hong Kong's stock exchange, working with big data platforms in an international environment.
Senior C++ Market Data Engineer building high-performance, low-latency market data pipelines for a trading firm—processing, parsing, and normalizing global exchange feeds to support high-frequency trading.
Build ingestion pipelines for hundreds of WMS and Geek+ tables and transform data from Silver to Gold within a Lakehouse architecture to enable SSBI, collaborating with stakeholders on table structures and metrics.
Data Engineer at a Hong Kong startup building and maintaining data pipelines and ML models for water-use analytics and leakage detection, collaborating closely with hardware teams.
Data Engineer building AI-powered CV/job matching platforms, focusing on data ingestion pipelines, OCR processing of CVs and job descriptions, and scalable ETL/ELT workflows on AWS.
Data Engineer designing and maintaining data analytics and data warehouse platforms for insurance applications, using Databricks, Spark, PySpark, and Azure SQL.
Design, build, and operate scalable data platforms and ETL pipelines for analytics and AI-driven decision-making in hybrid and cloud environments, ensuring government security compliance for MINDEF and GCC cloud initiatives.
Data Engineer building and maintaining scalable data pipelines and systems using Azure and Databricks for a large insurance organization in Hong Kong.
Build and maintain ETL/data pipelines, migrate legacy systems to a cloud-enabled data ecosystem, and support data quality and analytics for a finance & banking client using SQL and cloud platforms.
The AI & Data Engineer will modernize enterprise data platforms by managing large-scale data migrations and building robust data pipelines. The role involves collaborating with cross-functional teams to support analytics and reporting using cloud-enabled ecosystems.
BI Developer/Data Engineer designing enterprise-scale Power BI reports, dashboards, and SSAS tabular models with DAX optimization and data integration from SQL Server, Oracle, and APIs.
As a Risk Data Engineer, you drive innovation with Big Data and Analytics Platforms by applying analytical techniques, building data pipelines, and enhancing risk frameworks. Core technologies include Python, SQL, data modeling, ETL, and data warehousing.
The Senior Market Data Engineer will design and maintain high-performance, real-time market data infrastructure and exchange feed integrations for a trading firm. The role requires strong C++ expertise and fluency in both Mandarin and English.
This contract role involves performing unit, system, and load testing, supporting user acceptance testing, and providing ongoing maintenance for a government department using Java, JSF, and SQL.
Build high-performance, scalable full-stack applications using Golang, SvelteKit, and GraphQL within a microservices architecture.
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