Job Title:
Data Engineer - Google Cloud & Vertex AI

Experience:
5+ Years

Location:
Hyderabad/ Gurgaon / Bangalore

Employment Type:
Full-Time

Job Summary

We are seeking a highly skilled
Data Engineer
with expertise in
Google Cloud Platform (GCP)
and
Vertex AI
to design, build, and optimize scalable data pipelines and AI/ML-driven solutions. The ideal candidate will have robust experience in data engineering, cloud-native architectures, MLOps, and integration of machine learning models into enterprise data platforms.

Key Responsibilities
- Design, develop, and maintain scalable batch and real-time data pipelines on GCP.
- Build and manage data ingestion frameworks using
Cloud Storage, Pub/Sub, Dataflow, and Dataproc
.
- Develop and optimize data models, ETL/ELT processes, and data warehouses using
BigQuery
.
- Collaborate with Data Scientists and ML Engineers to deploy, monitor, and operationalize ML models using
Vertex AI
.
- Implement MLOps best practices including model versioning, pipeline orchestration, monitoring, and automation.




- Create and manage Vertex AI Pipelines for training, validation, deployment, and model lifecycle management.
- Integrate Generative AI solutions using Vertex AI services such as
Gemini, Model Garden, Prompt Engineering, and Vector Search
.
- Ensure data quality, governance, security, and compliance across data platforms.
- Optimize cloud infrastructure for performance, scalability, and cost efficiency.
- Work closely with business stakeholders to translate requirements into technical solutions.

Required Skills

Data Engineering
- Strong experience with
Python, SQL, and PySpark
.
- Hands-on experience with
ETL/ELT development
and workflow orchestration tools.
- Expertise in data modeling, data warehousing, and performance tuning.
- Experience handling structured and unstructured data.

Google Cloud Platform (GCP)
- BigQuery
- Dataflow
- Dataproc
- Cloud Storage
- Pub/Sub
- Cloud Functions
- Cloud Composer (Airflow)
- IAM and Secu

📌 DE Vertex (Gurugram)
🏢 StatusNeo
📍 Gurugram