Senior Data Management Professional - Data Engineering - Equity Corporate Actions Data, Shanghai

Bloomberg runs on data. Our products are fueled by powerful information. We combine data and context to paint the whole picture for our clients, around the clock – from around the world. In Data, we are responsible for delivering this data, news and analytics through innovative technology - quickly and accurately. We apply problem-solving skills to identify innovative workflow efficiencies, and we implement technology solutions to enhance our systems, products and processes - all while providing platinum customer support to our clients.

Our team is responsible for the end-to-end data management of equity corporate actions data including dividends, stock splits, rights offerings to offer a comprehensive product offering for our internal and external partners such as Enterprise Data, Indices and News. We focus on improving workflows via technology to automate data processing to scale and enhance our product. Our data product, which fuels our Corporate Actions and Dividend Forecasting functions, is a key building block in Bloomberg's overall offering, being used by more than a third of Bloomberg's 320,000 users.

We are looking for a highly motivated Senior Data Engineer with passion for data, technology and finance to improve our data product. As a member of our team, you will be responsible for developing various ETL pipelines, extraction automation, streamlining data processing, support exponential growth of data volume and achieve data quality excellence. You will be a technical leader in the team to devise a product strategy while implementing technical solutions, collaborate with our data technology engineers to integrate solutions into the wider architecture. You also have opportunity to mentor our junior data engineers, foster a good learning environment, and establish best practices for the team.

• Take ownership of the technical projects and their designs
• Build and iterate at a rapid and incremental pace following the full software development life cycle best practices
• Mentor junior data engineers to design, develop, and release high-quality and maintainable code
• Develop the team through extensive coaching, mentoring, training and delegation
• Collaborate with Engineering, Product and other partners to refine requirements and iterate on different projects

• 4+ years of Python programming and scripting in a production environment
• 4+ years of experience working in a data engineering role
• Familiarity with data management and ETL pipelines development
• Familiarity with data science and machine learning techniques to help with automation
• Previous hands-on work with a microservice architectural style, NoSQL - Databases and Cloud-Based Object Stores
• Strong communication and interpersonal skills
• Strong analytical and creative problem solving skills

• Experience building critical pipelines of data flowing from unstructured source documents to structured/mapped/schema-based data stores for downstream consumption, with an emphasis on automation over manual remediation, and on scalability/configurability.
• An understanding of the design, implementation, and deployment of high performance, high availability, large-scale applications in a distributed environment

Apply if you think we're a good match. We'll get in touch to let you know what the next steps are, but in the meantime feel free to have a look at this: https://www.bloomberg.com/professional

Bloomberg is committed to diversity. It drives our innovation. At Bloomberg, you'll have the opportunity to go above and beyond and to take risks. You'll be a part of an organization that is entering new markets, launching new ventures, and pushing boundaries. Our ever-expanding array of technology, data, news, and media services fosters innovation and empowers clients, and offers nearly limitless opportunities for career growth.

Shanghai | www.bloomberg.com/china

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