
Senior Engineer, Data Engineering
4 days ago
TYPE: Permanent
We are seeking a Data Engineer with strong analytical and technical expertise to support our data-driven transformation. You will be responsible for building and maintaining data infrastructure and pipelines, enabling robust analytics and machine learning initiatives across multiple departments
This role requires hands-on experience with data engineering tools and platforms, a solid foundation in Python and SQL, and ideally, some domain knowledge in chemical processes or related industries. You will work closely with stakeholders in R&D and regulatory teams to enable data accessibility, insight generation, and technical innovation
Design and implement internal process improvements, including infrastructure re-architecture for scalability, optimized data delivery, and automation of manual workflows
Build infrastructure for efficient data extraction, transformation, and loading (ETL) using AWS and SQL technologies
Develop and maintain automated data pipelines across sources like SQL Server, LIMS, Veeva, and unstructured text files
Power BI reports, RAG systems) to drive key insights on operational efficiency and customer acquisition
Prototype solutions for innovation teams using integrated datasets, including ML and generative AI applications
Support stakeholders with data infrastructure needs and resolve data-related technical issues
Lead technical projects and coordinate with external vendors/ consultants to deliver robust data solutions
Act as a liaison between internal subject matter experts and technical partners to ensure effective knowledge
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