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Here at Data & AI Foundation, we collect, ingest, and archive vast amounts of data from Ericsson's customers all over the world. Our unit is responsible for providing an Analytics platform with Data & AI Frameworks and shared analytics functions to be used broadly within Ericsson. Support the R&D digital transformation with diverse services connected to Data & AI. In this position you will belong to an agile, cross-functional team that works with Ericsson Network Benchmarking which utilizes anonymized customer data to calculate, visualize and benchmark the current network performance of operators all over the world to drive sales in Ericsson’s products.
Job Responsibility:
Write, test, and maintain high-quality code in Python
Assist in building data pipelines and create new benchmarking graphs
Cooperate with data scientists and data engineers to understand their current needs
Requirements:
Being a student in BSc or MSc in Computer Science, Electrical Engineering, or an equivalent degree
Experience in Python and scripting
Basic knowledge of Spark and Pandas
Familiarity with data warehousing, data pipelines/flows, microservices/cloud, Git, Linux, CI, and unit testing
An open and innovative mindset that adapts to changes easily
English proficiency, both written and spoken
Nice to have:
Knowledge of frameworks and applications: Spark, Hadoop, PowerBI, Kubernetes/Docker, AWS S3