21 Aug
|
StatusNeo
|
Gurugram
21 Aug
StatusNeo
Gurugram
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
Robust 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
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