Data Engineer

Role Overview: We are seeking a skilled Data Engineer with strong expertise in SQL, Python, and PySpark, along with experience in the commercial pharma domain. The ideal candidate will design, build, and optimize scalable data pipelines and support data-driven decision-making across the organization. Key Responsibilities: Develop and maintain robust ETL/ELT pipelines using SQL, Python, and PySpark Work with large-scale datasets to ensure data quality, integrity, and performance Collaborate with cross-functional teams to integrate data insights into business decisions Design, develop, and deploy scalable data architectures that meet business requirements Ensure data security, compliance, and governance in accordance with organizational policies and regulations. The ideal candidate will have a strong understanding of data engineering concepts, including data modeling, data warehousing, and big data analytics. Additionally, the ability to work effectively in a fast-paced environment, prioritize tasks, and manage multiple projects simultaneously is essential.