Senior Data Engineer
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Some ghost-posting signals
- open for 249 days (90+ without a fill is a strong ghost signal)
- 50 open roles at this company in 30 days (mass-hiring blitz)
- no salary disclosed (correlates with ghost postings)
See your fit for this role and apply with a truthfully tailored résumé.
About the role
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 .
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