Up Engineer google cloud platform Jobs – 117 Open Jobs Today

Data Modeler
WebSenor InfoTech —Noida, Uttar Pradesh
- Full-time
- Azure
- Oracle
- Computer Science
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3d
Senior AI/ML-Generative AI
WebSenor InfoTech —Noida, Uttar Pradesh
- Full-time
- Hybrid work
- Azure
- Computer Science
- DevOps
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Senior Manager
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- Full-time
- Azure
- Computer Science
- Master's degree
1d
Windows Tower Lead
Kyndryl —Greater Noida, Uttar Pradesh
- Full-time
- Azure
- Software troubleshooting
- Windows
Team Lead Backend Developer Nodejs (6-9 Years)
Techostinger India Private Limited —Greater Noida, Uttar Pradesh
- ₹7,00,000 - ₹10,00,000 a year
- Full-time
- Azure
- Computer Science
- Master's degree
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AI Architect
CLOUDSUFI —Noida, Uttar Pradesh
- Full-time
- English
- APIs
- AI
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Senior Cyber Security Specialist
Fonada —Noida, Uttar Pradesh
- ₹15,00,000 - ₹20,00,000 a year
- Full-time
- Azure
- Computer Science
- AWS
- Health insurance
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2905757-Lead Assistant Manager
EXL Service —Noida, Uttar Pradesh
- Full-time
- Azure
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- Software troubleshooting
Senior AI/ML Developer
WebSenor InfoTech —Noida, Uttar Pradesh
- Full-time
- Hybrid work
- Azure
- Computer Science
- DevOps
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Golang Developer
Xeroadss Pvt Ltd —Noida, Uttar Pradesh
- ₹4,89,970.73 - ₹25,87,575.84 a year
- Full-time
- Azure
- Computer Science
- Databases
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Data Modeler

WebSenor InfoTech -
Noida, Uttar Pradesh

Quick apply

Job details

Full-time
3 days ago

Qualifications

BCS
Data modelling
Azure
Oracle
Cloud architecture
Business intelligence
Computer Science
DevOps
NoSQL
Google Cloud Platform
MongoDB
Databases
SQL
AWS
Bachelor's degree
Machine learning
Data management
PostgreSQL
Unity
ETL
Agile
Financial services
Data science
Metadata
AI
Informatica
Analytics
Information Technology

Full job description

Job Description – Data Modeler (Databricks Delta Lake / Lakebase & Oracle Cloud Migration)

Job Title: Data Modeler
Experience: 7–10 Years
Employment Type: Full-Time

Role Summary

We are seeking an experienced Data Modeler to support enterprise cloud data modernization and Oracle migration initiatives. The ideal candidate will have strong expertise in enterprise data modeling, Databricks Delta Lake, Lakehouse architectures, metadata management, and cloud data platforms, with proven experience migrating legacy Oracle workloads to modern cloud-native data platforms.

This role will be responsible for designing scalable conceptual, logical, and physical data models, enabling data governance, and supporting analytics and AI/ML-ready data products. The successful candidate will collaborate with Data Architects, Data Engineers, Business Analysts, and Analytics teams to build modern, secure, and high-performing enterprise data platforms.

Key Responsibilities

Design, develop, and maintain conceptual, logical, and physical data models for enterprise data platforms.
Define and implement scalable data models supporting:
Data Warehousing
Lakehouse Architectures
Operational Data Stores
Analytics and Business Intelligence
AI/ML data products
Lead data modeling activities for Oracle modernization and cloud migration initiatives.
Analyze legacy Oracle data models and design optimized target-state models for cloud platforms.
Support migration of Oracle workloads to:
Databricks Delta Lake
Snowflake
Azure SQL Database
Azure Synapse Analytics
PostgreSQL
MongoDB and other modern databases
Design and implement data models leveraging Databricks Delta Lake and Lakebase capabilities.
Develop and maintain enterprise metadata, reference data, and business glossaries.
Implement data governance standards, metadata management, lineage, and cataloging practices.
Collaborate with Data Engineers to support ETL/ELT pipeline development and data integration.
Define data quality rules, validation standards, and governance controls.
Support AI/ML initiatives by designing data models optimized for feature engineering and machine learning workloads.
Optimize data structures for performance, scalability, and cloud-native architectures.
Participate in architecture reviews, design workshops, and cloud modernization initiatives.
Produce comprehensive data modeling documentation, standards, and technical specifications.
Work closely with business stakeholders to translate business requirements into scalable enterprise data models.

Required QualificationsEducation

Bachelor's degree in Computer Science, Information Technology, Engineering, Data Science, or a related field.

Experience

7–10 years of experience in Data Modeling, Data Architecture, or Enterprise Data Management.
Strong experience designing enterprise data models for cloud and analytics platforms.
Experience supporting large-scale cloud migration and data modernization programs.
Proven experience with Oracle database modernization initiatives.

Required Technical SkillsData Modeling

Strong expertise in:

Conceptual Data Modeling
Logical Data Modeling
Physical Data Modeling
Dimensional Modeling
Star Schema
Snowflake Schema
Normalization and Denormalization
Data Warehouse Modeling
Lakehouse Modeling

Databricks & Lakehouse

Hands-on experience with:

Databricks Delta Lake
Databricks Unity Catalog
Delta Sharing
Databricks Lakebase
Metadata Governance
Lakehouse Architecture

Cloud Platforms

Experience with one or more cloud platforms:

Microsoft Azure
Amazon Web Services (AWS)
Google Cloud Platform (GCP)

ETL/ELT & Data Integration

Experience with:

Azure Data Factory (ADF)
dbt
Informatica
Fivetran
Other enterprise ETL/ELT tools

Database Technologies

Strong experience with:

Oracle Database
Snowflake
Azure SQL Database
Azure Synapse Analytics
PostgreSQL
MongoDB
Other modern relational and NoSQL databases

Data Governance & Metadata Management

Experience with:

Microsoft Purview
Collibra
Alation
Informatica Enterprise Data Catalog (EDC)

Strong understanding of:

Metadata Management
Data Lineage
Data Cataloging
Master Data Management (MDM)
Data Quality Frameworks
Data Governance Best Practices

Preferred Qualifications

Experience in Oracle-to-cloud migration projects.
Experience designing AI/ML-ready data products and feature engineering datasets.
Knowledge of Data Mesh, Data Fabric, or modern distributed data architectures.
Experience working in highly regulated industries such as:
Healthcare
Financial Services
Insurance
Experience supporting enterprise analytics and business intelligence initiatives.
Familiarity with Agile development methodologies and DevOps practices.
Azure, Databricks, Snowflake, or cloud platform certifications are preferred.

Key Competencies

Enterprise Data Modeling
Data Architecture
Databricks Delta Lake
Lakehouse Design
Oracle Modernization
Cloud Data Migration
Metadata Management
Data Governance
Master Data Management (MDM)
Data Quality
AI/ML Data Readiness
SQL & Database Design
Problem Solving
Stakeholder Collaboration
Technical Documentation

Why Join Us?

Lead enterprise-scale cloud data modernization and Oracle migration initiatives.
Work with cutting-edge technologies including Databricks Delta Lake, Unity Catalog, and Lakebase.
Contribute to AI/ML-ready data platforms and modern Lakehouse architectures.
Collaborate with cross-functional teams to build scalable, secure, and governed enterprise data solutions.

Work Location: Hybrid remote in Noida, Uttar Pradesh (Noida)

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engineer google cloud platform jobs in up

Data Modeler

Senior AI/ML-Generative AI

Senior Manager

Windows Tower Lead

Team Lead Backend Developer Nodejs (6-9 Years)

AI Architect

Senior Cyber Security Specialist

2905757-Lead Assistant Manager

Senior AI/ML Developer

Golang Developer

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