Join our Team
About this opportunity:
We are seeking a driven and dynamic Integration Engineer to join our team at Ericsson. This role provides an exceptional opportunity for a motivated individual to contribute meaningfully to data-driven integration services. The chosen candidate will need to analyze, develop, and execute test cases, thereby ensuring adequate configuration and seamless integration of our network systems. In addition to this, the role demands a meticulous adherence to our group directives, legal, and financial requirements. In this position, you will be working within Ericsson's global and local Environmental and Occupational Health and Safety (E+OHS) standards, while ensuring the utmost data security and privacy. This role offers a stimulating and challenging setting that promotes continuous learning and growth.
What you will do:
- Build quality data solutions and refine existing diverse datasets to simplified models encouraging self-service.
- Build data pipelines that optimize on data quality and are resilient to poor quality data sources
- Low-level systems debugging, performance measurement & optimization on production clusters
- Collaborate with other data engineers, full stack developers to integrate data solutions into production systems, ensuring scalability and optimal performance.
The skills you bring:
Minimum 5+ years of professional experience as a
software developer with end-to-end project delivery, including at least 3+ years of experience as a
Data Engineer.
Advanced proficiency in
Python programming, with hands-on experience in implementing
RESTful services, particularly using FastAPI (self-assessment rating of 8/10 or higher).
Solid experience in application development using
Apache Spark, with a self-assessment rating of 7/10 or higher.
Strong expertise in cloud-native microservices, with experience working with
Kubernetes, Docker, and Helm charts.
Proficient in version control systems (e.g., GitLab, GitHub) and continuous integration tools such as Jenkins.
Proven experience working with one or more major cloud platforms (AWS, GCP, or Azure).
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