Senior Data Engineer - Wizeline
Summary
Build and maintain AI-powered ETL pipelines and REST microservices using Scala, Python, and Google Cloud, optimizing BigQuery analytics and ensuring scalable data infrastructure.
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.
Todos los candidatos deben asegurarse de leer atentamente la siguiente descripción del puesto y la información antes de enviar su solicitud.
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
- Languages & Frameworks
- Scala /Apache Beam
- Python /FastAPI, pytest
- Data & Cloud
- Google Cloud Platform: App Engine, Cloud Functions v2, Cloud Build, Dataflow, Pub/Sub, GCS, Cloud SQL (MySQL)
- BigQuery — schema design, analytical queries, dataset management
- Apache Beam / Google Dataflow — distributed ETL at scale
- Data lakes
- DevOps & Tooling
- CI/CD
- Docker, minikube
- Git submodules, gcloud SDK
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. xqbhyrx
Find out more about our culture here.