Ericsson is hiring for Software Engineer

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Python Development: Write clean, efficient, and maintainable Python code to support data engineering tasks, including data collection, transformation, and integration with machine learning models.
Data Pipeline Development: Design, develop, and maintain robust data pipelines that efficiently gather, process, and transform data from various sources into a format suitable for machine learning and data science tasks using ELK stack, Python and other leading technologies.
Spark Knowledge: Apply basic Spark concepts for distributed data processing when necessary, optimizing data workflows for performance and scalability.
ELK Integration: Utilize ElasticSearch, Logstash, and Kibana (ELK) for data management, data indexing, and real-time data visualization. Knowledge of OpenSearch and related stack would be beneficial.
Grafana and Kibana: Create and manage dashboards and visualizations using Grafana and Kibana to provide real-time insights into data and system performance.

The successful candidate will be responsible for developing and delivering data solutions to fulfill our business needs and specifications.
By creating and optimizing data pipelines and data models for our analytical solution's data lake / data warehouses, you'll be contributing to specific microservices we offer. T
he role also encompasses the responsibility for managing all data entering our data lake/DWH, ensuring the content, format, and integrity remain optimal throughout the data's lifecycle.