Data Engineer-LifeScience CL 9

• Design and develop scalable data pipelines using Python and SQL.
• Collaborate with cross-functional teams to integrate data from various sources into a unified platform.
• Develop and maintain large-scale data warehouses and data lakes.
• Implement data quality checks and ensure data integrity across the organization.
• Work closely with stakeholders to identify business requirements and develop solutions that meet their needs.
• Stay up-to-date with industry trends and emerging technologies in data engineering.

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