ETL/Data Warehousing N chicago, IL
* 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.
Qualifications Education & Experience 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 modelling 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 Clik & PowerBI.
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