We are looking for an experienced GCP Data Analytics & Vertex AI Engineer with solid expertise in Google Cloud Platform (GCP), Vertex AI, Data Engineering, Data Analytics, Machine Learning, and Terraform. The candidate will be responsible for designing, developing, and supporting scalable cloud-native data and AI solutions while leveraging the full GCP ecosystem to deliver business insights and advanced analytics capabilities.

Key Responsibilities
Design and develop scalable data engineering solutions on Google Cloud Platform.
Build and manage data pipelines using Dataflow, Dataproc, Cloud Composer, and Cloud Data Fusion.
Develop and deploy Machine Learning solutions using Vertex AI.
Analyze and transform large datasets to support business intelligence and analytics requirements.
Implement cloud infrastructure provisioning using Terraform.
Develop automation and data engineering solutions using Python.
Manage data ingestion, transformation, processing, and orchestration workflows.
Work with Data Catalog and metadata management solutions.




Collaborate with data architects, business stakeholders, and engineering teams to deliver enterprise data solutions.
Ensure data quality, governance, security, and operational excellence.
Support AI/ML initiatives and model deployment lifecycle activities.
Participate in Agile delivery processes and sprint-based development.

Required Skills
7+ years of experience in Data Engineering and Analytics.
Strong experience with Google Cloud Platform (GCP).
Hands-on expertise with Vertex AI.
Experience in Data Analysis and Machine Learning solutions.
Strong experience with:
Dataflow
Dataproc
Cloud Composer
Cloud Data Fusion
Data Catalog
Solid Python programming skills.
Experience using Terraform for Infrastructure as Code (IaC).
Experience developing cloud-native ETL and data processing solutions.
Robust analytical and problem-solving skills.

Preferred Skills
Vertex AI Certification.

📌 Gcp Data Analytics Bengaluru (India)
🏢 Tata Consultancy Services
📍 India