Job descriptionwe are seeking a highly skilled senior data engineer to join our team. As a key member of our organization, you will play a crucial role in designing, building, and maintaining our data infrastructure.responsibilities:• design, build, and optimize data pipelines using dwh technologies, databricks, qlik and other platforms as required. Ensuring data quality, reliability, and scalability.• support the migration of internal applications to databricks (or equivalent) based solutions. Collaborate with application teams to ensure a seamless transition.• managing continuous improvement, continuous development, devops and runops activities at application, data and infra levels either on cloud or on premise.• mentor junior data engineers. Share best practices, provide technical guidance, and foster a culture of continuous learning.• contribute to the organization's data strategy by identifying opportunities for data-driven insights and improvements.• participate in smaller focused mission teams to deliver value driven solutions aligned to our global and bold move priority initiatives and beyond.• design, develop and implement robust and scalable data analytics using modern technologies.requirements:at least 5+ years demonstrable experience in:• data engineering with a strong understanding of pyspark and sql, building data pipelines and optimization.• data engineering and integration tools (e.g., databricks, change data capture)• utilizing cloud platforms (aws, azure, gcp). A deeper understanding/certification of aws and azure is considered a plus.• experience with relational and non-relational databases.ideal candidatesubject matter expertise: possess a strong understanding of data architecture/ engineering/operations/ reporting within life sciences/ pharma industry across commercial, manufacturing and medical domains. Other complex and highly regulated industry experience will also be considered for e.g. healthcare, government or financial services. Preferred qualifications include proficiency in sql, r, and/or python, coupled with expertise in machine learning techniques, statistical analysis, and data visualization.