Data Modeller

Mobi India

Mumbai, Pune District

On-site

INR 1,200,000 - 2,200,000

Full time

14 days+

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Benefits offered by this job

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Job summary

Mobi India is seeking an experienced Data Modeller to design conceptual, logical, and physical data models for enterprise analytics. The role focuses on scalable data architecture, cloud data platforms, and data warehousing to support business intelligence solutions.

You will develop ER diagrams, data dictionaries, and schemas, implement Star/Snowflake/Medallion architectures, and collaborate with Data Engineering and BI teams to ensure governance and performance.

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
Dimensional modelling tools
Cloud platforms
Power BI/Tableau/ThoughtSpot
Data governance
ETL/ELT
Metadata management

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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