Oracle Cloud Infrastructure Data & AI Engineer

Tata Consultancy Services; Kolkata District; On-site; INR 350,000 - 700,000; Full time

Job summary

Tata Consultancy Services (TCS) is seeking an experienced Oracle Cloud Infrastructure Data & AI Engineer to design, develop, and deploy data and AI solutions on OCI for enterprise analytics.

The role demands 10+ years in cloud, data engineering, analytics, ML, and AI, with hands-on OCI Data Science and OCI AI Services expertise in a Kolkata/PAN India setting.

Qualifications

• 10+ years in Data Engineering, Analytics, AI, and Cloud tech.
• Expertise in OCI services including OCI Data Science and Data Integration.
• Proficient in Python, SQL, Spark; deploying ML models in cloud.

Responsibilities

• Design and implement Data & AI solutions on OCI.
• Develop scalable data pipelines, data lakes, and data warehouses.
• Build and deploy ML/AI models using OCI AI Services.
• Work with structured and unstructured data for analytics.
• Develop Data Engineering solutions using OCI Data Integration and Oracle Autonomous Database.
• Configure OCI Data Science environments.
• Implement MLOps and model deployment frameworks.
• Integrate OCI with Oracle ERP, SCM, HCM and third-party apps.
• Optimize cloud performance, security, governance, and cost.
• Collaborate with business stakeholders, architects, and data science teams.

Skills

Data Engineering

Analytics

AI

Cloud technologies

OCI

OCI Data Science

OCI AI Services

OCI Generative AI

OCI Data Integration

OCI Object Storage

Oracle Autonomous Database

Oracle Analytics Cloud (OAC)

Python

SQL

Spark

ETL/ELT

Data governance

Security

Cloud architecture

Large-scale data migration

Education

Bachelor's/Master's in CS/IT/DS/AI

Oracle Cloud Certifications

Job description

Job Description – Oracle Cloud Infrastructure (OCI) Data & AI Engineer (TCS)

Location: Kolkata / PAN India

Experience: 8-15 Years

Job Summary

Tata Consultancy Services (TCS) is seeking an experienced Oracle Cloud Infrastructure (OCI) Data & AI Engineer with 10+ years of experience in cloud platforms, data engineering, analytics, machine learning, and AI solutions. The ideal candidate will be responsible for designing, developing, and deploying data and AI solutions on Oracle Cloud Infrastructure (OCI) to enable enterprise-scale analytics and intelligent decision-making.

Key Responsibilities

• Design and implement Data & AI solutions on Oracle Cloud Infrastructure (OCI).


• Develop scalable data pipelines, data lakes, and data warehouses.


• Build and deploy Machine Learning (ML) and AI models using OCI AI Services.


• Work with structured and unstructured data for advanced analytics use cases.


• Develop Data Engineering solutions using OCI Data Integration and Oracle Autonomous Database.


• Configure and manage OCI Data Science environments.


• Implement MLOps and model deployment frameworks.


• Integrate OCI services with Oracle ERP, SCM, HCM, and third-party applications.


• Optimize cloud performance, security, governance, and cost management.


• Collaborate with business stakeholders, architects, and data science teams.

Required Skills

• 10+ years of experience in Data Engineering, Analytics, AI, and Cloud technologies.


• Hands-on expertise in:


• Oracle Cloud Infrastructure (OCI)


• OCI Data Science


• OCI AI Services


• OCI Generative AI


• OCI Data Integration


• OCI Object Storage


• Oracle Autonomous Database


• Oracle Analytics Cloud (OAC)


• Strong experience in Python, SQL, Spark, and Data Engineering frameworks.


• Experience building AI/ML models and deploying them in cloud environments.


• Knowledge of data governance, security, and cloud architecture best practices.


• Experience with ETL/ELT processes and large-scale data migration projects.

Preferred Skills

• OCI AI Foundations Associate/Professional Certification.


• Experience with GenAI, LLMs, Retrieval-Augmented Generation (RAG), and Vector Databases.


• Exposure to Oracle Digital Assistant (ODA) and OCI Generative AI Services.


• Knowledge of MLOps, Kubernetes, Docker, and CI/CD pipelines.

Qualifications

• Bachelor's/Master's degree in Computer Science, IT, Data Science, AI, or related field.


• Oracle Cloud Certifications preferred.