Senior Data Engineer">The Senior Data Engineer will be responsible for supporting complex or leading singular projects related to data engineering requirements and initiatives across the organization.Key responsibilities include:Design, development, and maintenance of data pipelines for processing Research and Development data from diverse sources utilizing AWS technology platform.Create and optimize ETL/ELT processes for structured and unstructured data using Python, R, SQL, AWS services, and other tools.Build and maintain data repositories using AWS S3 and FSx technologies. Establish data warehousing solutions using Amazon Redshift.Develop data quality frameworks, validation processes, and KPIs to ensure accuracy and consistency of data pipelines.Implement data versioning and lineage tracking to support data traceability, regulatory compliance, and audit requirements.Collaborate with stakeholders to understand data requirements and deliver appropriate solutions in a global working model.Key qualifications include:Strong knowledge of data engineering tools such as Python, R, and SQL for data processing.Proficiency with AWS services particularly S3, Redshift, FSx, Glue, Lambda.Background in data modeling and database design.Familiarity with big data technologies and handling.Required education includes a Bachelor''s Degree in Computer Science, Statistics, Mathematics, Life Sciences, or other relevant scientific fields; Master''s Degree preferred.Benefits include medical, dental, and vision insurance, retirement savings plan, flexible paid vacation, and more.