Data Streaming Platform Engineer (Advanced)

SUMMARY:
Company Purpose

Our client in the motor industry is seeking an experienced Data Streaming Platform Engineer to delve into the core of data streaming processes, ensuring robustness, scalability, and efficiency at every stage. From designing and implementing streaming architectures to optimizing data pipelines, you'll play a crucial role in shaping our data infrastructure and driving insights to fuel our business growth.

POSITION INFO:
Role Title: Data Streaming Platform Engineer (Advanced)

Essential Skills Requirements:
- Sound knowledge in Kotlin, Java, JavaScript, Python, or C#
- Experience with Microservices, Cloud Architectures, and Container Architectures (e.g., Docker)
- Proficiency in developing solutions on public cloud platforms like Microsoft Azure and AWS
- Familiarity with Container Orchestration Platforms (e.g., Kubernetes)
- Experience in backend application and service development
- Business-oriented mindset with a focus on meeting business goals
- Understanding of technology integration

Advantageous Skills Requirements:
- Knowledge of event streaming (e.g., Apache Kafka)
- Experience with GitOps technologies (e.g., ArgoCD, Flux)
- Expertise with Helm in deploying and managing applications on Kubernetes clusters
- Familiarity with Data Modeling and Database technologies (e.g., Postgres, Influx)
- Experience in securing cloud environments
- Operations (DevOps) based on a standby roster
- ITIL certification and process knowledge
- Understanding of BI Tools
- Proficiency in Agile methodologies (Scrum, Kanban)
- Experience with Continuous Integration and Delivery tools (e.g., GitHub, GitLab, Terraform, Ansible)
- Coordination between development and support environments

Qualifications/Experience:
- Bachelor’s Degree in Information Technology or equivalent work experience

Responsibilities:
- Running business critical services in cloud environments
- Usage of automation tools for monitoring and observing software reliability
- Handling incidents and changes within defined SLAs
- Collaborating in a team environment to improve services throughout the Software Development Life Cycle
- Managing projects and processes
- Supporting Product in an Agile approach by managing User Stories
- Assisting in shaping the Product roadmap
- Identification and management of risks
- Requirements management, including elicitation, translation, documentation, planning, and monitoring.