Maintain upgrade and evolve data pipeline architectures to ensure optimal performance and scalability.Orchestrate the integration of new data sources into existing pipelines for further processing and analysis.Keep documentation up to date for pipelines and data feeds to facilitate smooth operations and collaboration within the team.Collaborate with crossfunctional teams to understand data requirements and optimize pipeline performance accordingly.Troubleshoot and resolve any issues related to pipeline architecture and data processing.Skills RequiredExperience with Cloud platform for deployment and management of data pipelines.Familiarity with AWS / Azure for efficient data processing workflows.Experience with constructing FAIR data products is highly desirable.Basic understanding of computational clusters to optimize pipeline performance.Prior experience in data engineering or operations roles preferably in a cloudbased environment.Proven track record of successfully maintaining and evolving data pipeline architectures.Strong problemsolving skills and ability to troubleshoot technical issues independently.Excellent communication skills to collaborate effectively with crossfunctional teams.QualificationsBachelors degree in Computer Science Engineering or a related field.Certification or training in relevant technologies is advantageous