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<ul><li>Large commercial firm</li><li>Data engineering, AWS, Snowflake, Glue Lambda</li><li>Data pipeline and data model building, real-time dashboard</li></ul>
My clinet is a global financial institution with a rich heritage, offering a range of banking and financial services to individuals, businesses, and corporations worldwide. Known for its extensive network, diverse product offerings, and commitment to customer satisfaction, this organization is recognized as a leader in the global banking industry.
As a Junior AWS Data Engineer, you will assist in developing and maintaining data pipelines on the AWS platform, supporting the data needs of organization.
Hands on ETL, data pipeline and data modelling at Cloud platform.
As a data enablement specialist, your role will involve the development, maintenance, testing, and evaluation of data solutions within our advanced Data and Analytics Platform. Your primary focus will be on driving the adoption of self-service data analytics, following established reference patterns and best practices.
My client is the regulatory authority responsible for monetary policies, financial stability, and supervision of banks in a major Asian financial hub. It oversees the exchange rate system, promotes the growth of the financial industry, and ensures the integrity of the Hong Kong financial system.
Your role will revolve around optimizing the transition of machine learning models to production, overseeing their maintenance and monitoring, and fostering seamless collaboration among data scientists, data engineers, application developers, and IT teams.
Our client is looking for a skilled Engineer specializing in Mechanical, Electrical, and Plumbing (MEP) systems to join the team at a prominent Data Center Provider. As an MEP Engineer, you will be instrumental in the design, implementation, and maintenance of critical systems that ensure the optimal functioning of the data center facilities.
Big team of Data Analytics as a Data Scientist, where you will be part of a dynamic group of data scientists and engineers. Building a cutting-edge data platform, models, and tools to revolutionize analytics and enable data-driven decision making on a large scale.
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