Data Modeler - IT

- 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's 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

Personal Specifications

Preferred Academic Qualification: Any Graduate / Postgraduates

Years of Experience: 5+ years

Knowledge / Competency / Skills:

- 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. etc )

- 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

- Understanding of traditional Data Warehouse components (e.g. ETL, Business Intelligence Tools)

- Creativity to go beyond current tools to deliver the best solution to the problem 5+ years working on data processing environments.