上海美资ETL数据仓库工程师职位

Position Summary:

Our Database / Data Warehouse Developers design and implement multi-terabyte operational marketing databases that integrate our client's data with demographic data for prospects and consumers. Our databases typically house a hundred million individuals and billions of transactions. Once hired, the qualified candidate will be immersed in the development and maintenance of database / data warehouse solutions to meet client business objectives.

Position Responsibilities:

？ Work directly with project teammates throughout Merkle US offices on database marketing solutions

？ Be the go-to person and mentor more junior resources on the Shanghai team

？ Design, develop, and maintain production data load and update jobs

？ Design, develop, and maintain complex SQL queries for data analysis and data extract

？ Design, develop, and maintain ETL scripts

？ Design, develop, and maintain data mart extraction processes

？ Perform quality assurance and testing at the unit level

？ Write user and technical documentation

？ Other duties as assigned

Position Requirements:

？ Excellent written and oral English communication skill

？ Ability to work independently and directly with resources across Merkle’s global teams, primary in the US

？ Bachelor's degree in Computer Science or related IT field or relevant professional experience

？ Solid understanding of SQL

？ 4~7 years of experience with Microsoft SQL Server, Oracle, or other major RDBMS

？ Familiarity with at least one leading ETL tool, such as Informatica, Ab Initio, Oracle Warehouse Builder or SQL Server SSIS

？ Knowledge of software engineering and development methodologies, techniques, and tools, including Configuration Management (CVS), Issue Tracking (TeamTrack; Jira), and the Software Development Lifecycle (waterfall; agile)

？ Familiarity with designing and implementing large databases and data warehouses utilizing both relational and dimensional design concepts

？ Experience with CDI (Customer Data Integration) is a plus

？ Experience in database marketing is a plus