Full Stack Engineer

Full Stack Engineer Data Role purpose The GCDR application (hosted on Hadoop platform) is primarily concerned with entity resolution (matching internal and external party data together to form single view of the customer). GCDR covers all four lines of business across 57 markets. It also supports other services such as UI, reporting, network generation, APIs etc. The entity resolution and network generation services use Quantexa software, however many other elements are HSBC build. Main activities include: - Developing and maintaining the GCDR application using Java, Python, Scala, and Hadoop technologies. - Collaborating with data scientists to design and implement data pipelines and entity resolution algorithms. - Working closely with business stakeholders to understand their requirements and develop solutions that meet those needs. - Participating in Agile development methodologies and collaborating with cross-functional teams. - Troubleshooting and resolving technical issues, as well as identifying and implementing process improvements. - Staying up-to-date with the latest technologies and trends in data engineering and full-stack development. Requirements: - Bachelor's degree in Computer Science or related field. - 3+ years of experience in software development, preferably in a data-intensive environment. - Strong understanding of Java, Python, Scala, and Hadoop technologies. - Experience with entity resolution and network generation concepts. - Familiarity with Agile development methodologies and version control systems like Git. - Excellent problem-solving skills and ability to work independently. - Strong communication and collaboration skills. Benefits: - Opportunity to work on a cutting-edge data engineering project that has the potential to make a significant impact on the business. - Collaborative and dynamic work environment with a talented team of engineers and data scientists. - Comprehensive training program to help you develop your skills in areas like Java, Python, Scala, and Hadoop technologies. - Flexible working hours and remote work options. - Access to cutting-edge tools and technologies.