Join our **remote** team as a **Senior Data Software Engineer** and work with a Swiss\-American pharmaceutical and medical device company specializing in eye care products. With a focus on vision care and surgical products, this company is committed to improving eye health worldwide. As a Senior Data Software Engineer, you will be responsible for designing, developing, and maintaining data pipelines using Apache Spark and PySpark. You will collaborate with cross\-functional teams to understand business requirements and translate them into technical solutions, ensuring data security and compliance with data governance policies. **Responsibilities** * Develop and maintain data pipelines and analytics solutions * Optimize Spark jobs for performance and scalability, leveraging AWS services * Contribute to the development of data architecture and data modeling * Ensure data accuracy and quality control through unit tests and columnar\-based file types * Participate in code reviews and contribute to the development of best practices for data engineering * Collaborate with cross\-functional teams to understand business requirements and data needs, contributing to the development of data\-driven solutions * Stay up\-to\-date with the latest data engineering technologies and trends **Requirements** * A minimum of 3 years of experience in Data Software Engineering, with a strong understanding of the Data domain * Experience with Apache Spark and PySpark, as well as SQL and Big Data technologies * Proficiency in Amazon Web Services (AWS), including AWS CLI, S3, Glue, Lambda, Athena, and Step Functions * Familiarity with columnar\-based file types and unit testing * Excellent communication skills and strong critical thinking capabilities to effectively convey feedback and insights * Fluent spoken and written English at an Upper\-Intermediate level or higher, enabling effective communication **Nice to have** * Experience with CI/CD tools such as Atlassian Bitbucket, AWS CodeBuild, and Terraform