Data Engineer
Ericsson
Description
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:
1. Build quality data solutions and refine existing diverse datasets to simplified models encouraging self-service.
2. Build data pipelines that optimize on data quality and are resilient to poor quality data sources
3. Low-level systems debugging, performance measurement & optimization on production clusters
4. Collaborate with other data engineers, full stack developers to integrate data solutions into production systems, ensuring scalability and optimal performance.
The skills you bring:
1. Bachelor’s degree in computer science engineering, Information Technology or related subjects.
2. Minimum 3+ yrs professional experience as a data engineer. Overall 5+ yrs professional experience as software engineer.
3. Experience in at least one modern scripting or programming language, such as Python, Java or Scala.
4. Good understanding of basic data structure, algorithm, software design patterns, UML, application development (python, spark) best practices, SDLC exposure.
5. Understanding of Open API specification and RESTFul Services (Sync and Async APIs).
6. Relational, Non-relational database.
7. Have project experience implementing E2E Data solutions (ETL pipelines). Knowledge of building RESTFul services specifically using Fast API will be a plus.
8. Performance Tuning, troublehsooting and optimizing applications.
9 Proficient in cloud-native micro services design, experience of working with Kubernetes, Docker, helm charts.