Job description
We are: Wizeline, a global AI-native technology solutions provider, develops cutting-edge, AI-powered digital products and platforms. We partner with clients to leverage data and AI, accelerating market entry and driving business transformation. As a global community of innovators, we foster a culture of **growth, collaboration, and impact.
**With the right people and the right ideas, there’s no limit to what we can achieve
Are you a fit? Sounds awesome, right? Now, let’s make sure you’re a good fit for the role:
Technical Requirements
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Languages & Frameworks
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Scala /Apache Beam
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Python /FastAPI, pytest
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Data & Cloud
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Google Cloud Platform: App Engine, Cloud Functions v2, Cloud Build, Dataflow, Pub/Sub, GCS, Cloud SQL (MySQL)
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BigQuery — schema design, analytical queries, dataset management
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Apache Beam / Google Dataflow — distributed ETL at scale
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Data lakes
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DevOps & Tooling
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CI/CD
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Docker, minikube
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Git submodules, gcloud SDK
Languages
- Spanish and English
Responsibilities
- Maintain and extend ETL pipelines
- Build and operate REST microservices (Akka HTTP / Python)
- Design BigQuery schemas and optimize analytical queries
- Operate and extend AI-powered tooling (PR reviewer, infrastructure monitoring bot)
- Maintain backward compatibility across legacy and modern authentication flows
Nice-to-have:
- ApacheBeans
- Kafka
- Dataflow
What we offer:
- A High-Impact Environment
- Commitment to Professional Development
- Flexible and Collaborative Culture
- Global Opportunities
- Vibrant Community
- Total Rewards
*Specific benefits are determined by the employment type and location.
Find out more about our culture here .