Data Engineer

Here at Data & AI Foundation, we collect, invest, 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.

Responsibilities

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

High interest in big data, data engineering and visualization; Experience in Python and scripting; Knowledge of Spark, Pandas, Airflow; Familiarity with data warehousing, data pipelines/flows, microservices/cloud, Git, Linux, CI, and unit testing; Familiarity with the agile way of working; An open and innovative mindset that adapts to changes easily; English proficiency, both written and spoken; BSc or MSc Degree in Computer Science, Electrical Engineering, or an equivalent

Nice to have

Knowledge of frameworks and applications: Spark, PowerBI, Kubernetes/Docker, AWS S3, MySQL; Previous experience with data monitoring systems