Senior Data Engineer (GCP)
TLDR
Build and extend ETL pipelines and REST microservices on GCP to design BigQuery schemas and deploy AI-powered tooling.
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
- 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
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.
Benefits
Flexible Work Hours
Flexible and Collaborative Culture
Learning Budget
Commitment to Professional Development
Total rewards
Remote-Friendly
A High-Impact Environment
Wizeline is a global technology services provider that builds AI-powered digital products and platforms for mid-size to Fortune 500 companies. We focus on modernizing core technologies and enhancing user experiences, enabling our clients to leverage data and artificial intelligence for business transformation and faster market entry.
- Founded
- Founded 2014
- Employees
- 500+ employees
- Industry
- information technology and services
- Total raised
- $110M raised