.Job Reference817_24_ES_EDD_RE1PositionPython climate data software developerClosing DateSaturday, 14 December, 2024Reference: 817_24_ES_EDD_RE1Job title: Python climate data software developerAbout BSCThe Barcelona Supercomputing Center - Centro Nacional de Supercomputación (BSC-CNS) is the leading supercomputing center in Spain. It houses MareNostrum, one of the most powerful supercomputers in Europe. The mission of BSC is to research, develop and manage information technologies in order to facilitate scientific progress. BSC combines HPC service provision and R&D into both computer and computational science under one roof, and currently has over 1000 staff from 60 countries.We promote Equity, Diversity and Inclusion, fostering an environment where each and every one of us is appreciated for who we are, regardless of our differences.Context And MissionIn the Barcelona Supercomputing Center, scientists from different groups rely on a shared data archive curated by the Data and Diagnostics Team (DDT), which is in charge of downloading, standardizing, checking, and curating model and observational data from external sources, as well as developing common tools for data analysis.Most of the tools for the data pipelines are written in Python and use the community standards of NetCDF and GRIB.The successful candidate will join the Data and Diagnostics Team to develop a new Python suite to create a data pipeline to manage and update the BSC storage containing reanalysis and seasonal forecasts data from the ECMWF Climate Data Store (CDS).The successful candidate will study different ways to access the CDS, efficiently download and format the data by exploring different community libraries, and integrate this into a workflow using the workflow manager developed in the department (Autosubmit).In a second phase, the work will consist of generalizing this tool for other data platforms (NMME and other reanalysis).Key DutiesDevelop a Python suite to download and format climate data from the climate data store and other similar platformsStudy the efficiency of the different options of the suiteIntegrate the suite into a data pipeline workflowDevelop an automatic data checker in the data pipelineRequirementsEducationBachelor in Computer Science, Telecommunications, Physics or related disciplineEssential Knowledge and Professional ExperienceGood development skills and experience with UNIX/LINUX environments.Experience in Python programming and scripting languages.Additional Knowledge and Professional ExperienceFluency in English, both speaking and writingKnowledge of climate formats and tools (netcdf, grib, cdo, xarray,...) will be valued but are not mandatoryCompetencesDemonstrated learning capacity and motivation to maintain a learning progression during the contract