Data Modeler

4 weeks ago

Bengaluru, India Quest Global Full time

Quest Global is an organization at the forefront of innovation and one of the world’s fastest growing engineering services firms with deep domain knowledge and recognized expertise in the top OEMs across seven industries. We are a twenty-five-year-old company on a journey to becoming a centenary one, driven by aspiration, hunger and humility.

We are looking for humble geniuses, who believe that engineering has the potential to make the impossible, possible; innovators, who are not only inspired by technology and innovation, but also perpetually driven to design, develop, and test as a trusted partner for Fortune 500 customers.

As a team of remarkably diverse engineers, we recognize that what we are really engineering is a brighter future for us all. If you want to contribute to meaningful work and be part of an organization that truly believes when you win, we all win, and when you fail, we all learn, then we’re eager to hear from you.

The achievers and courageous challenge-crushers we seek, have the following characteristics and skills:

- Lead effort to create a comprehensive conceptual, logical, and physical data model for the business
- Mentor / coach colleagues on Data Modeling
- Actively participate in design meetings, workshops in order to influence the data strategy for the business
- Lead periodic reviews of data quality
- Cultivate data management practices and processes that improve the speed and accuracy of analytics, including data access, data loading, data readiness, quality control, automation, integration, and model deployment and management across the company
- Provide guidance on data operations across the organization

**Capabilities**
- Subject matter expert in the area of Conceptual, Logical, and Physical Data Modeling
- Identify enhancement opportunities in an existing data model
- Ability to interpret Conceptual Data Model into Logical and Physical Data models
- Deep understanding of more than one particular database management system employed
- Exposure into non-traditional data modeling techniques, e.g., NoSQL, Graph databases
- Capable of architecting the logical framework for a business project
- Lead, influence, and design the activities across the project team to ensure logical data model meets strategic business objectives

**Key Experiences**
- Created conceptual and logical model that was translated into a physical model for a business project
- Used programming skills (e.g. Python, Java, etc.) to generate a physical data model for a business project
- Experience architecting conceptual, logical, and physical design of a production warehouse environment for a business project
- Managed the conceptual, logical and physical design of a production warehouse environment
- Developed and optimized the framework for ingestion, execution, and performance of the data model for a business project
- Managed and maintained the ingestion, execution, and performance of the data model for a business project
- Led, influenced, and designed the activities across the project team to ensure a logical data model met strategic business objectives
- Created a physical data model for a business project using the native database language of the database management system (DBMS). Created objects such as tables, columns, keys, data types, validation rules, database triggers, stored procedures, domains and access constraints
- Interviewed stakeholders and business analysts to generate the functional requirements for the conceptual and logical model for the business project
- Lead effort to create a comprehensive conceptual, logical, and physical data model for the business
- Mentor / coach colleagues on Data Modeling
- Actively participate in design meetings, workshops in order to influence the data strategy for the business
- Lead periodic reviews of data quality
- Cultivate data management practices and processes that improve the speed and accuracy of analytics, including data access, data loading, data readiness, quality control, automation, integration, and model deployment and management across the company
- Provide guidance on data operations across the organization

**Capabilities**
- Subject matter expert in the area of Conceptual, Logical, and Physical Data Modeling
- Identify enhancement opportunities in an existing data model
- Ability to interpret Conceptual Data Model into Logical and Physical Data models
- Deep understanding of more than one particular database management system employed
- Exposure into non-traditional data modeling techniques, e.g., NoSQL, Graph databases
- Capable of architecting the logical framework for a business project
- Lead, influence, and design the activities across the project team to ensure logical data model meets strategic business objectives

**Key Experiences**
- Created conceptual and logical model that was translated into a physical model for a business project
- Used programming skills (e.g. Python, Java, etc.) to generate a physical data model

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