The Professional, Data Engineer role is to use expert data analysis, documentation and process orchestration skills and knowledge to define and deliver data products and to contribute to the development and implementation of the enterprise data strategy ensuring it is in line with and supports the IT and Business strategies. With the growing need to integrate and share data and information as corporate assets, serving as integral platforms for generating revenue and competitive advantages, this individual must be able to understand both the technical points of data management, as well as the business drivers and needs regarding data and solutions to promotes its effective use. Analyze, tag, identify data assets and systems through data discovery and analysis of high-level business processes, engagement with stakeholders and power users, and create the methods and concepts needed to produce business insights. The Data Requirements Analyst will have deep data management skills and will be comfortable querying a variety of platforms using new languages and methods. Experience sorting through uncertain raw data to extract useful elements and collections. Experience working with data architects, data engineers, data modelers and reporting users. Work as part of the data management team on large programs, governing and shaping the delivery of data products and services. Help define and propagate data assets both existing and to be built. Collaborate with development teams working with other areas to ensure that all data solutions are complete, operable, conform to business processes, and meet the business needs with the agreed quality of service. Experience with Big Data Platforms, Data Warehousing, Data Lakes and Data Mesh/Hub concepts. Understand the need for and proper application of data governance. Understanding of identifying, modifying, and creating efficient best in class data workflows. Ensure the end-to-end solution is fit for purpose, meets the needs of business, the agreed requirements, and are both pragmatic and supportive of the strategic architecture direction. Understanding of data management practices such as data integration, data governance, master data management, metadata management, data quality management, security/privacy, and data modeling. Ability to maintain confidentiality and adhere to regulatory compliance issues as they exist and change from time to time. Performs other related duties as assigned.
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Job Type
Full-time
Career Level
Entry Level