1 to 4 of 4 Distributed Computing Jobs in the South West

in geospatial libraries such as GDAL, GeoPandas, or ArcPy. Proficiency in machine learning techniques and libraries for geospatial data analysis & modelling. Experience with cloud computing platforms such as Azure, AWS, Google Cloud, and distributed computing frameworks such as Apache Spark, for processing large geospatial datasets. Familiarity with more »

in geospatial libraries such as GDAL, GeoPandas, or ArcPy. Proficiency in machine learning techniques and libraries for geospatial data analysis & modelling. Experience with cloud computing platforms such as Azure, AWS, Google Cloud, and distributed computing frameworks such as Apache Spark, for processing large geospatial datasets. Familiarity with more »

and warehousing principles that underpin most data platforms. Ability to ingest, transform, integrate data from diverse sources into well-structured information assets. Knowledge of distributed computing techniques like parallel processing, streaming, batch workflow orchestration that enable handling large data volumes. Experience with ETL, data pipelines, and building automated … high-performance data solutions. Data modeling, warehouse design, database optimization knowledge - with samples of logical/physical models that reflect proficiency. Deploying, and managing distributed data systems. Ability to monitor, troubleshoot, and tune these systems for reliability and performance. Coding experience that demonstrates modularity, reusability, and efficiency - across languages. more »

models. Proficiency in MLOps and DevOps practices. Strong programming skills in Python and C#. Experience with Big Data technologies and ETL processes. Familiarity with distributed computing frameworks like Kubernetes. Why Join: Drive AI innovation at a leading SaaS provider. Work with a dynamic, forward-thinking team. Engage in more »