Data Acquisition and Integration Developer

Who we are Zurich is one of the world’s leading insurance groups, and one of the few to operate on a global basis. Our mission is to help our customers understand and protect themselves from risk. With about 55,000 employees serving customers in more than 170 countries, we aspire to become the best global insurer as measured by our shareholders, customers and employees. We help individuals, small and medium sized companies and global corporations around the world understand and protect themselves from risk by offering a wide range of insurance products, solutions and advisory services. Our opportunity Zurich is seeking an experienced Big Data Developer to join our Data & Analytics team as part of Global Corporate IT’s Major Projects [login to view URL] right candidate will join a small team of highly qualified and experienced professionals, working on true Big Data projects with a direct impact on the success of Zurich’s frontline [login to view URL] part of a team, you will be responsible to code the acquisition and integration of data from a variety of data sources to support our global initiatives. For this you will work closely with a team of experts to develop the most optimal algorithms combining the data and unlocking its value. Your role As a Data Acquisition and Integration Developer your main responsibilities will involve: • Develop and maintain data integration pipelines, customizations to the Palantir/Hadoop based platform and entirely new services as part of your regular work, applying solid statistical knowledge in the process.• Independently solve complex data integration challenges, by understanding and synthesizing the requirements from Subject Matter Experts, Business Analysts, and Data Scientists. Subsequently propose and implement solution algorithms addressing the challenge.• Analyze and troubleshoot problems associated with distributed data processing pipelines (as might occur from coding, or inefficient use of processing and storage resources).• Maintain and develop required documentation for technical support, development, and increasing the understanding of the current environment.• Adequately quality assure own deliverables and supports System and Integration Tests• Understand customers’ objectives, processes, and products in order to make educated recommendations.• Work closely with peers to ensure continuous improvement of code and processes within the team.• Work with colleagues across the IT function to ensure plans and policies are aligned.• Support management by assessing software or components for new opportunities (where possible through re-use), by performing preliminary evaluation of software and components, and by coming forward with recommendations for management to develop and improve IT processes and systems.• Support management in building the Business Case, including cost / benefit analysis, risk assessment, project scope, and development of a high level plan.• Act within a number of complex processes and procedures in an international environment, and use in-depth knowledge to solve internal customer issues or escalate appropriately to manager, internal partners or external vendors Your Skills and Experience As a Data Acquisition and Integration Developer your skills and qualifications will ideally include: • Master of Computer Science degree (or equivalent) and 2 or more years of experience in related field. Demonstrated strength in Mathematics and Statistics (such as a BA/BS in Mathematics or Statistics is a plus.• Strong Java/Groovy Team Programming Experience• English: Able to actively take part in meetings and discussions, able to give information about own area of expertise and to deliver recommendations.• Ability to summarize and present complex facts into understandable and presentable pieces of information• Has experience as developer on Linux/Unix based systems.• Development experience with Hadoop ecosystem components for data processing• Good understanding and experience of distributed data processing• Good understanding of relational database structure and performance aspects of RDBMS’• Good interpersonal skills as team member as well as towards internal customers.• Good knowledge of information technology to be able to achieve feasible solutions.• Good theoretical and/or practical knowledge about application of statistical methods is an advantage.• Experience with machine learning a plus.• Able to cope with ambiguity• Precise working. Good with understanding technical concepts and independently learning new technologies..• Interested in understanding Corporate Insurance business and key financials. Additional Information Primary work location is Barcelona. This position may require Project travel, depending on the scope or type of Project. If you value an exciting and varied working environment and meet the above requirements, then please apply to the position by clicking on the button “Apply online”.-