What will you be doing? Your responsibilities include:

• advising on cloud and data architectures within a hybrid/multi-cloud landscape;

• designing and implementing data pipelines and API integrations;

• working with Python and libraries such as Pandas, Xarray, and Geopandas;

• building prototypes and proof-of-concepts that can scale up to production;

• contributing ideas regarding containerization, CI/CD, and operationalization;

• configuring metadata, data classification, access, and data quality;

• applying…