Define & enforce development standards for ETL/Data Warehousing. Design, code, test, & document reusable objects using Snowflake & IICS. Lead full lifecycle Data Warehousing & integration projects from requirements to deployment. Collaborate with Data Engineering team to implement solutions aligned with business needs. Optimize infrastructure & reduce Data Platform costs. Implement operational improvements, including processes, controls, & code reviews.
Requirements:
Must have a Bachelor's or foreign education equivalent in Engineering, Computer Science or Biotechnology, or foreign education equivalent & 4 years of experience as a data architect or in related field. Of experience required, must have 4 years: (i) working in data integration, data warehousing, cloud-related initiatives, & development & implementation of data solutions; (ii) writing complex SQL queries; (iii) partnering with external vendors or implementation partners to optimize service delivery; (iv) working with data warehousing, data technologies, & ETL solutions; & (v) leading end-to-end data engineering & data modeling activities, including design, implementation, testing, deployment, & support. Of experience required, must have 3 years: (i) applying architecture patterns & data integration design principles; (ii) working in a matrix organization, balancing customer needs against organizational goals; (iii) identifying & recommending appropriate product/service offerings to meet functional needs; (iv) executing project delivery & client relationship management within a technology environment; & (v) preparing data visualizations using Qlik & PowerBI. Work experience may be gained concurrently.
Application Instructions:
Apply online at https://careers.abbvie.com/en or send resume to [email protected]. Refer to Req ID: REF49791V.
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