Client- Edgematics 

Position- Data Modeller 

Experience- 5 to 7 years 

Budget- 15-25 LPA 

Location- Kharadi, World Trade Center, Pune 

Position- Permanent 

ROLE AND RESPONSIBILITIES

 The data modeler designs, implements, and documents 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.

 Be responsible for the 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. The candidate must be able to work independently and collaboratively with all relevant teams.

 Implement business and IT data requirements through new data strategies and designs across all data platforms (relational, dimensional, and NoSQL) and data tools (reporting, visualization, analytics, and machine learning).

 Work with business and application/solution teams to implement data strategies, build data flows, and develop conceptual/logical/physical data models

 Define and govern data modeling and design standards, tools, best practices, and related development for enterprise data models.

 Identify the architecture, infrastructure, and interfaces to data sources, tools supporting automated data loads, security concerns, analytic models, and data visualization.

 Hands-on modeling, design, configuration, installation, performance tuning, and sandbox POC.

 Work proactively and independently to address project requirements and articulate issues/challenges to reduce project delivery risks.

PREFERRED SKILLS

 Bachelor’s or master’s degree in computer/data science technical or related 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.

 Proven experience with programming for data analysis.

 Firm understanding of statistics and databases.

 Expert problem-solving and analytical skills.

 Strong communication skills.

GOOD TO HAVE SKILLS

 Ability to work in a fast-paced, deadline-driven environment.

 Collaborative mindset.