Data Modeler

We are looking for skilled Data Modeler | 4+ yrs, Chennai | F2F with strong experience in microservices architecture and cloud platforms.

We are looking for a skilled Data Modeler with strong expertise in designing scalable and efficient data models. The ideal candidate will have hands-on experience with Data Vault 2.0, data warehousing concepts, and strong SQL capabilities to support enterprise-level data platforms.

About Us

CodeVyasa is a mid-sized product engineering company that works with top-tier product and solutions organizations such as McKinsey, Walmart, RazorPay, Swiggy, and others. We are a team of 550+ engineers, driving innovation across Product & Data Engineering, focusing on Agentic AI, RPA, Full Stack, and GenAI-based solutions.

Must-Have Skills

• Strong experience in Data Modeling (Conceptual, Logical & Physical)
• Hands-on experience with Data Vault 2.0 (Hubs, Links, Satellites)
• Strong proficiency in SQL
• Experience in ER Modeling and Dimensional Modeling
• Expertise in Source-to-Target Mapping
• Experience working with Data Warehouses such as:
• Snowflake
• Amazon Redshift
• Google BigQuery
• Azure Synapse Analytics
• Strong understanding of data architecture & schema design
• Experience ensuring data integrity, consistency, and quality

Good-to-Have Skills

• Experience with dbt
• Exposure to ETL / ELT pipelines
• Experience with cloud platforms:
• Amazon Web Services
• Microsoft Azure
• Google Cloud Platform
• Experience with Snowflake ecosystem
• Exposure to large-scale data platforms
• Working knowledge of Agile / Scrum methodologies

Key Responsibilities

• Design and implement scalable data models using best practices
• Build and maintain Data Vault 2.0 structures
• Collaborate with stakeholders for data requirements and mapping
• Ensure data quality, governance, and consistency
• Optimize data models for performance and scalability
• Support data warehousing and analytics initiatives

Why Join CodeVyasa?

• Work on innovative, high-impact projects with leading global clients.
• Exposure to modern technologies, scalable systems, and cloud-native architectures.
• Continuous learning and upskilling opportunities through internal and external programs.
• Supportive and collaborative work culture with flexible policies.
• Competitive salary and comprehensive benefits package.
• Free healthcare coverage for employees and dependents