
GCP Data Analytics Engineer
Virtusa · Remote
Strong hiring record · median 14 days open
All reasons
- No location stated
In its favour
- Still listed on the employer's own board
This is a remote position.
This is a remote position.
We are looking for GCP Data Analytics Engineer to join us. This is a hybrid role that requires periodic travel within Europe, ideally once or twice every two months.
Requirements
- Core Skills: BigQuery, Data Engineering, Data Ingestion, Detokenization of Data, Airflow, and Python (Looker is a nice-to-have)
- 7+ years of experience designing, developing, and deploying high-performance data platforms and Agentic solutions
- Experience designing cloud enterprise solutions and supporting customer projects through to completion
- Hands-on experience with the GCP stack: AlloyDB, GCS, GKE, Gemini Enterprise, and Agent Platform (formerly Vertex AI)
- Strong Python coding skills (including data structures, algorithms, and system/software design)
- Experience automating infrastructure provisioning, DevOps/MLOps, and CI/CD pipelines
- Google Cloud Professional ML Engineer certification
Skills
- GCP
- BigQuery
- Airflow
- Python
- Looker
- Google Cloud Storage
- GKE
- Gemini
- Vertex AI
- MLOps
- Machine Learning
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