Data Governance Engineer

Overview The Data Governance Engineer is responsible for enabling and governing the adoption of the data governance capabilities within the Azure Purview, Informatica CDGC and CDQ and beyond. In collaboration with the Platform Engineer Team, Advance Analytics Team, Business Stakeholders within US and globally, the incumbent must have a passion for how data can be trusted and accessed easily so it can be leveraged as a strategic asset for the consumers and producers. Responsibilities Assist the Data Governance AVP to achieve outcomes defined in the Book of Work and KPIs/OKRs assigned for our segment Support the technical deployment and enablement of the Azure Purview, Informatica CDGC and CDQ and work with vendor to prioritize features on the roadmap Support the Data Quality implementation including but not limited to data profiling, write data quality rules, tables mapping based on the critical data elements defined, data quality score and monitoring, DQ production deployment Contribute and provide practical guidance around data quality, metadata management, data access and security Ensure all data management processes conform to standard operating procedures and aligns with a modern data architecture & enterprise technology standards and policies including the Global EDL standards Design, upgrade and implement innovative data workflows, automation, tools, and API integrations Work with DG Director and global counterparts to promote a data driven culture through data literacy programs and best practices Innovation and Continuous Improvement through evaluation and Proof of Concept of new data technologies and capabilities that are value-driven to the organization Required Qualifications 5+ years professional experience in big data management including a university degree in Engineering, IT, Computer Science, Mathematics, Physics, or equivalent program Knowledgeable in data processing languages such as SQL, Python, Go, Java, or Scala Expert knowledge of data governance concepts, not limited to metadata, data quality, lineage, data protection and organizational accountability Expertise in data technologies and the use of data to support software development, advanced analytics, and reporting Extensive experience implementing data storage solutions, managing, and developing data processing, and optimizing data solutions (Azure) Expertise in integrating, transforming, and consolidating data from structured and unstructured data systems suitable for analytics solutions Understanding of parallel processing and data architecture patterns Experience in building secure data processing pipelines using Azure data services. Knowledge of basic TCP/IP protocols, REST and RPC protocols Familiar in developing code in IDEs like VSCode, PyCharm etc. with knowledge of basic code versioning in GIT Ability to work with minimal or no supervision; ability and initiative to organize various functions necessary to accomplish department activities or goals and be a strong team player Preferred Qualifications Azure Storage Explorer/Data Studio, Synapse /Azure Data Factory/Databricks, Azure Data Lake Gen 2 When you join our team We’ll empower you to learn and grow the career you want. We’ll recognize and support you in a flexible environment where well-being and inclusion are more than just words. As part of our global team, we’ll support you in shaping the future you want to see. About Manulife/Manulife Hong Kong and Mainland China (Mandarin) 宏利金融公司是一家業界領先的國際金融服務商，致力於幫助人們實現「輕鬆投資理財，樂享豐盛人生」。如要進一步了解我們，請訪問: Manulife is an Equal Opportunity Employer 在宏利／恒康，我們擁抱多元。我們致力於吸引、培養及挽留和所服務客戶同樣多元的員工，並從而營造包容的工作環境，接納文化和個體差異。我們矢志維持公平的招聘、挽留、晉升及薪酬制度，我們管理的所有實踐及項目不會因種族、血統、原籍地、膚色、族裔、國籍、宗教或信仰、性別（包括懷孕及其相關情況）、性取向、遺傳特徵、退伍軍人身份、性別認同、性別表達、年齡、婚姻狀況、家庭狀況、殘疾或受適用法律保護的任何其他因素而區別對待。 我們的首要任務是消除障礙，為員工提供平等就業機會。若申請人需要在應聘過程中獲得協助，請聯絡 。 Working Arrangement 混合式 #J-18808-Ljbffr