Data Modeler – RDBMS/Machine Learning (ML) for an MNC

FRATITUDE Talent Advisors; Bengaluru; On-site; INR 1,800,000 - 3,200,000; Full time

Job summary

FRATITUDE Talent Advisors searches for a Data Modeler - RDBMS/Machine Learning for an MNC in Bengaluru. The role centers on designing and implementing data architecture and modeling across relational, dimensional, and NoSQL stores to support enterprise information management, BI, and ML initiatives.

The candidate will develop conceptual, logical, and physical data models, data marts, and data lakes on target platforms, while guiding architecture expansion and data-query performance improvements.

Qualifications

• Bachelor’s or Master’s degree in computer/data science or related field.
• 5+ years of hands-on relational, dimensional, and/or analytic experience.
• Experience with data warehouse, data lake, and enterprise big data platforms.
• Knowledge of metadata management and data modeling tools like Erwin or ER Studio.
• Experience in team management, communication, and presentation.
• Ability to work independently and collaboratively.

Responsibilities

• Design, implement, and document data architecture and data modeling solutions using relational, dimensional, and NoSQL databases.
• Develop conceptual, logical, and physical data models and data marts/data lakes on target platforms (SQL/NoSQL).
• Oversee expansion of data architecture and optimize data query performance.

Skills

Data modeling

RDBMS

NoSQL

ETL

Data warehousing

Data lake

Metadata management

Data ingestion

Team management

Communication

Presentation

Independent work

Education

Bachelor’s or Master’s degree in computer/data science

Tools

Erwin

ER Studio

Job description

Data Modeler - RDBMS/Machine Learning (ML) for an MNC

Position Data Modeler - RDBMS/Machine Learning (ML)

REF FRACLT_DM_1119

Location Bengaluru, KAR, INDIA

Required:

Qualification: Bachelor’s or Master’s degree in computer/data science technical or related experience.

Experience: 5+ years of hands-on relational, dimensional, and/or analytic experience (using RDBMS, dimensional, NoSQL data platform technologies, and ETL and data ingestion protocols).

• Experience with data warehouse, data lake, and enterprise big data platforms in multi-data-center contexts required.
• Good knowledge of metadata management, data modeling, and related tools (Erwin or ER Studio or others) required.
• Experience in team management, communication, and presentation.
• Able to work independently and collaboratively.

Role & Responsibilities:

• Design, implement, and document data architecture and data modeling solutions, which include the use of relational, dimensional, and NoSQL databases.

(These solutions support enterprise information management, business intelligence, machine learning, data science, and other business interests).

• Development of the conceptual, logical, and physical data models, the implementation of RDBMS, operational data store (ODS), data marts, and data lakes on target platforms (SQL/NoSQL).
• Oversee and govern the expansion of existing data architecture and the optimization of data query performance via best practices.