Data Modeller

Dashboard Experts India

Mumbai, Pune District

On-site

INR 1,800,000 - 3,200,000

Full time

13 days ago

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Job summary

Dashboard Experts India in Mumbai seeks an experienced Data Modeller to design conceptual, logical, and physical data models for enterprise analytics. You will translate business requirements into scalable models supporting BI solutions on cloud platforms.

You should have 5+ years in data modelling, hands-on with dimensional modelling (Star/Snowflake), Data Vault, and experience with tools like SqlDBM, Erwin, ER/Studio or PowerDesigner.

Qualifications

  • 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.

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
Dimensional Modelling
Star Schema
Snowflake Schema
Data Vault
Power BI
Tableau
ThoughtSpot
AWS
Azure
GCP
Medallion Architecture
ETL/ELT
Data Governance
Metadata Management
SqlDBM
Erwin
ER/Studio
PowerDesigner
Data Modelling Tools

Education

Bachelor

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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