Data Modeller , Data Analyst

Tata Consultancy Services; Hyderabad, Pune District, Bengaluru; On-site; INR 900,000 - 1,300,000; Full time

Job summary

Tata Consultancy Services in Hyderabad seeks a Data Architect/Data Modeler to translate business needs into robust data models and strategies, and to define data flows with development teams.

Ideal candidates have data warehousing and database experience, cloud expertise (Azure or GCP), and proficiency with DDL/DML and Erwin or similar tools. This is a full-time on-site role with cross-functional collaboration across teams.

Qualifications

• Experience with Data warehousing and databases required.
• Translate business needs into data models.
• Evaluate existing data systems and propose improvements.
• Collaborate with development teams on conceptual data models and data flows.
• Develop best practices for data coding for consistency.
• Review modifications for cross-compatibility.
• Implement data strategies and physical data models.
• Update and optimize local and metadata models.
• Advanced knowledge of Azure and/or Google Cloud Platform.
• Strong DDL and DML skills.
• Familiarity with Erwin or equivalent data modeling tools.

Responsibilities

• Analyse and translate business needs into long-term data models.
• Collaborate with teams to create data flows.
• Evaluate and optimize existing data systems.
• Define data modeling standards and best practices.
• Ensure cross-compatibility of data components.
• Design and implement data strategies and physical models.
• Maintain and refine metadata models.

Skills

Data warehousing

Database

Data modeling

Azure

Google Cloud Platform

DDL

DML

Data architecture

Cross-system compatibility

Erwin

Tools

Erwin

Job description

• Experience with Data warehousing & Database is required.
• Analysing and translating business needs into long-term solution data models.
• Evaluating existing data systems.
• Working with the development team to create conceptual data models and data flows.
• Developing best practices for data coding to ensure consistency within the system.
• Reviewing modifications of existing systems for cross-compatibility.
• Implementing data strategies and developing physical data models.
• Updating and optimizing local and metadata models.
• Advanced skills and knowledge in Azure and/or Google Cloud Platform
• Strong DDL, DML skills
• Good exposure and understanding of Erwin or any other equivalent tool.