We are looking for an experienced Data Modeler with strong expertise in Conceptual, Logical, and Physical Data Modeling across enterprise-scale data platforms. The ideal candidate will have hands-on experience designing data solutions for Data Warehouses, Data Lakes, Lakehouses, Data Marts, OLTP, and OLAP systems, along with deep exposure to dimensional and enterprise data modeling methodologies.
The role requires close collaboration with business stakeholders, architects, engineering teams, and leadership to design scalable, high-performance, and governance-driven data ecosystems.
Key Responsibilities
Data Modeling & Architecture
- Design and maintain Conceptual, Logical, and Physical Data Models for enterprise applications.
- Develop scalable models for:
- Data Warehouses
- Data Lakes & Lakehouses
- Data Marts
- OLTP & OLAP systems
- Create ER diagrams using tools such as:
- ERwin
- ER/Studio
- Enterprise Architect
- PowerDesigner
- Implement:
- Entity-Relationship Modeling
- Data Vault Modeling
- Dimensional Modeling
- Suggest optimal modeling approaches based on business requirements and target architecture.
- Define and enforce enterprise data modeling standards and best practices.
Data Management & Governance
- Perform:
- Data Extraction
- Data Analysis
- Data Cleansing
- Data Mapping
- Data Profiling
- Create and maintain:
- Source-to-Target Mapping documents
- Data Dictionaries
- Functional Specifications
- Champion:
- Data Lineage
- Metadata Management
- Data Quality Analysis
- Data Governance standards
- Define data retention policies and automated anomaly detection mechanisms.
Collaboration & Delivery
- Collaborate with:
- Business Stakeholders
- Data Owners
- Business Analysts
- Architects
- Data Engineers
- QA Teams
- Guide teams on:
- Data ingestion logic
- Ingestion frequency
- Data consumption patterns
- Testing strategies
- Monitor project progress and provide updates to leadership on milestones and blockers.
- Mentor junior team members and provide technical guidance on analytics design patterns.
Platform & Engineering Support
- Build scalable ETL/ELT pipelines for large-volume data movement.
- Work with DBAs and Engineering teams to optimize physical data models.
- Support model-driven development and repository management.
- Troubleshoot production data model and service issues.
- Research and recommend modern data management technologies and engineering practices.
Required Skills & Experience
Experience
- 4+ years of experience in enterprise data modeling and analytics environments.
- Experience working with hybrid data ecosystems involving:
- Relational Databases
- Distributed Data Platforms
- Cloud-based Data Systems
Technical Skills
- Strong understanding of:
- Data Warehousing concepts & architecture
- OLTP and OLAP systems
- Data Governance & Data Quality
- Industry Data Models (e.g., ACORD)
- Experience designing complex dimensional data models.
- Exposure to ETL tools and data ingestion frameworks.
- Hands-on experience with cloud platforms:
- AWS
- Azure
- GCP
Data Modeling Tools
Experience with one or more of the following:
- ERwin
- PowerDesigner
- ER/Studio
- Enterprise Architect
- MagicDraw
- Business Glossary tools
Leadership & Communication
- Experience leading large teams and enterprise projects.
- Strong stakeholder management and client-facing experience.
- Excellent verbal and written communication skills.
- Ability to explain complex technical concepts to non-technical stakeholders.
- Strong analytical, troubleshooting, and problem-solving skills.
- Familiarity with Agile methodologies.
Preferred Qualifications
- Experience with Data Vault architecture.
- Experience in insurance industry data models such as ACORD.
- Exposure to metadata-driven and automation-first data engineering practices.
- Experience building semantic layers for BI and analytics solutions.
Shubham Vishwakarma
Full Stack Developer - Averlon
About Quantiphi
About
Quantiphi is an award-winning AI-first digital engineering company driven by the desire to reimagine and realize transformational opportunities at the heart of the business. Since its inception in 2013, Quantiphi has solved the toughest and most complex business problems by combining deep industry experience, disciplined cloud, and data-engineering practices, and cutting-edge artificial intelligence research to achieve accelerated and quantifiable business results.
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Work from Home!!!
Its Genuine Company, and will provide offer letter
We are hiring International outbound Caller position who is having experience in Tech Support process sales(No other experienced require)
Shift- 5pm to 1am(Monday to Saturday)
Part time- 6.30pm to 12.30am
sunday fixed off
Salary- Negotiable
HUGE OPPORTUNITY TO EARN INCENTIVES+ ALLOWANCE+OTHER PERKS
Requirement:-
- One must have good English Communication
- One must have own Laptop/Computer, Headphone with mic, wifi
- One must have experience in International tech calling sales
- Must have no major power cut problem frequently
- Medically fit candidates suitable to take outbound call with dedication everyday
Benefits:-
- Fixed Salary
- Lucrative Incentive Package
- Internet reimbursement
- Referral Bonus
- Fixed Shift time
Freshers dont apply
We are providing immediate joining
Candidates having International Outbound Tech Sales experience apply
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team members.
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Send us your code samples / GitHub profile / published articles if applicable.
Java
Javascript
React.js
Angular (2+)
AngularJS (1.x)
Ruby
Ruby on Rails (ROR)
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Full Stack Developer - Averlon