Data Modeller

PHP Experts India

Mumbai

On-site

INR 1,500,000 - 2,400,000

Full time

14 days+

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Job summary

PHP Experts India seeks an experienced Data Modeller to design conceptual, logical, and physical data models for enterprise applications. You will work on cloud data platforms and data warehouses, implementing dimensional modelling to support scalable analytics and business intelligence solutions.

Key responsibilities include developing ER diagrams, data dictionaries, and schemas, translating requirements into scalable models, and designing Star/Snowflake/Medallion architectures.

Qualifications

  • 5+ years of overall experience with 3+ years in Data Modelling.
  • Strong knowledge of ER Modelling and RDBMS concepts.
  • Hands-on with Dimensional Modelling, Star Schema, Snowflake Schema, and Data Vault.
  • Experience with data modelling tools such as SqlDBM, Erwin, ER/Studio, or PowerDesigner.
  • Good understanding of Medallion Architecture and data warehouse concepts.
  • Experience with cloud platforms like AWS, Azure, or GCP and databases such as Snowflake, Redshift, or MongoDB.
  • Familiarity with ETL/ELT processes, metadata management, and data governance.
  • Experience designing models for BI tools like Power BI, Tableau, or ThoughtSpot.
  • Knowledge of Graph Modelling, Document Modelling, and NoSQL databases is an added advantage.

Responsibilities

  • Design and maintain conceptual, logical, and physical data models.
  • Develop ER diagrams, data dictionaries, and database schemas.
  • Translate business requirements into scalable data models.
  • Design Star Schema, Snowflake Schema, and Medallion Architecture (Bronze, Silver, Gold).
  • Support ETL/ELT processes and cloud migration initiatives.
  • Optimize database performance through indexing, partitioning, and normalization.
  • Collaborate with Data Engineering, BI, and business teams.
  • Ensure adherence to data governance, metadata management, and modelling standards.

Skills

ER Modelling
RDBMS
SQL
Database design
Dimensional modelling
Star Schema
Snowflake Schema
Data Vault
Medallion Architecture
AWS
Azure
GCP
Snowflake
Redshift
MongoDB
ETL/ELT
Metadata management
Data governance
Power BI
Tableau
ThoughtSpot
Graph Modelling
Document Modelling
NoSQL

Tools

SqlDBM
Erwin
ER/Studio
PowerDesigner

Job description

We are looking for an experienced Data Modeller with strong expertise in designing conceptual, logical, and physical data models for enterprise applications. The ideal candidate should have experience in cloud data platforms, data warehousing, dimensional modelling, and modern data architecture to support scalable analytics and business intelligence solutions.

Key Responsibilities
  • Design and maintain conceptual, logical, and physical data models.
  • Develop ER diagrams, data dictionaries, and database schemas.
  • Translate business requirements into scalable data models.
  • Design Star Schema, Snowflake Schema, and Medallion Architecture (Bronze, Silver, Gold).
  • Support ETL/ELT processes and cloud migration initiatives.
  • Optimize database performance through indexing, partitioning, and normalization.
  • Collaborate with Data Engineering, BI, and business teams.
  • Ensure adherence to data governance, metadata management, and modelling standards.
Required Skills & Experience
  • 5+ years of overall experience with 3+ years in Data Modelling.
  • Strong knowledge of ER Modelling, RDBMS, SQL, and database design.
  • Hands-on experience with Dimensional Modelling, Star Schema, Snowflake Schema, and Data Vault.
  • Experience with data modelling tools such as SqlDBM, Erwin, ER/Studio, or PowerDesigner.
  • Good understanding of Medallion Architecture and data warehouse concepts.
  • Experience with cloud platforms like AWS, Azure, or GCP and databases such as Snowflake, Redshift, or MongoDB.
  • Familiarity with ETL/ELT processes, metadata management, and data governance.
  • Experience designing models for BI tools like Power BI, Tableau, or ThoughtSpot.
  • Knowledge of Graph Modelling, Document Modelling, and NoSQL databases is an added advantage.
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