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AI Summary
Design, develop, and maintain scalable ETL/ELT pipelines and data warehousing solutions to improve the lab organization's data maturity. Collaborate with cross-functional teams to build automated data platforms and monitor pipeline infrastructure.
- The Senior Data Engineer is a critical role in growing the data maturity of the lab organization at UL Solutions. The candidate will be a part of a multidisciplinary team of software developers, data scientists, and architects working toward developing data solutions for the lab. This is a remote based role and can be located in either Italy or Poland.
- The ideal candidate will have a proven track record of developing ETL/ELT pipelines and data warehousing. Sources may come from disparate data types, including legacy databases and documents using popular open-source software. In this role, you will collaborate closely with product, technology teams, and management to design and validate the capabilities of the data platform. This position requires a proactive and innovative approach to problem-solving and a commitment to continuous improvement in data processing and orchestration.
- Profile and analyze data in designing scalable solutions.
- Leverage technologies such as the Azure BI Stack and Power BI visualization platforms, and modern developer tools to execute innovative solutions that facilitate data-driven analysis, automation, and data science.
- Analyze, develop, and maintain data pipelines from internal and external sources.
- Apply and build automated test-driven development, continuous integration/delivery, and version control best practices.
- Manage, monitor, and troubleshoot data pipeline infrastructure.
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