Data Modeler

3 days ago


Gurgaon, India NR Consulting - India Full time

Role - Data Modeler (Data Modeler + Data Engineer)

Experience: 4.5+ Years

Location : Remote

Notice Period: Immediate (10 Days Max)

Job description:
**Data Modeller skills as below**:

- Responsible for designing, deploying, and maintaining Data models for DWL Layer.
- Responsible for creating STM and Data Models (ER Model) for every single Entity.
- Understanding the Work Intake from Client on granularity and business level and Model the requirement to the New or Existing business model.
- Evaluate new and upcoming data solutions and make recommendations for adoption to existing and new Data Entities.
- Responsible for handling, maintaining and optimizing global EDW Design and evaluating the Entity to the common format as per its functional role.
- Creating Dynamic DDL and Scripts as per the requirements.
- Guiding ETL Team to make them understand the Data Model and functional role of the Entity
- Responsible for migration of Dev and QA Data entities
- Creating STM and Data Models in ER.
- Identify gaps and improve the existing platform to improve quality, robustness, maintainability, and speed
- Perform development, QA, and dev-ops roles as needed to ensure total end to end responsibility of solutions
- Experience building, maintaining, and improving Data Processing Pipeline / Data routing in large scale environments
- Fluency in common query languages, API development, data transformation, and integration of data streams
- Strong experience with large dataset platforms such as (e.g. Azure SQL Database, Teradata etc )
- Experience with Azure Synapse is preferable
- Fluency in multiple programming languages, such as Python, Shell Scripting, SQL, Java, or similar languages and tools appropriate for large scale data processing.
- Experience in any ER Tool
- Experience with acquiring data from varied sources such as: API, data queues, flat-file, remote databases
- Must have basic Linux administration skills and Multi-OS familiarity (e.g. Microsoft Windows, Linux)
- Data Pipeline and Data processing experience using common platforms and environments


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