Data Modeller

Ascendion Engineering; Bengaluru; On-site; INR 3,500,000 - 6,500,000; Full time

Job summary

Ascendion Engineering is seeking a seasoned data architect with 10+ years of experience in data modeling and data architecture. The role requires deep expertise in relational database design, normalization, and hands-on work with PostgreSQL, DynamoDB, and SQL Server environments.

You will contribute to legacy modernization initiatives and develop governance artifacts within an AWS-based enterprise context. The ideal candidate thrives in Agile/Scrum environments and has experience delivering

Qualifications

• 10+ years in data modeling and data architecture.
• Strong expertise in relational DB design and normalization.
• Experience with PostgreSQL, DynamoDB, SQL Server environments.
• Experience supporting legacy modernization programs.
• Hands-on experience with AWS-based enterprise platforms.
• Experience creating enterprise data dictionaries and governance artifacts.
• Experience in Agile/Scrum delivery environments.

Skills

Data Modeling

Data Architecture

Relational DB Design

Legacy Modernization

AWS Platforms

Data Governance

Agile/Scrum

Tools

ERwin

ER/Studio

PowerDesigner

DB2

SQL Server

PostgreSQL

API Modeling

Data Migration

Metadata Mgmt

Data Lineage

UML

ERD docs

Job description

Required Experience

• 10+ years in Data Modeling and Data Architecture.
• Strong expertise in relational database design and normalization.
• Experience with PostgreSQL , Dynamo DB, SQL Server environments.
• Experience supporting legacy modernization programs.
• Hands-on experience with AWS-based enterprise platforms.
• Experience creating enterprise data dictionaries and governance artifacts.
• Experience in Agile/Scrum delivery environments.

Technical Skills

• Data Modeling tools: ERwin, ER/Studio, PowerDesigner or equivalent.
• SQL and database performance concepts.
• DB2, SQL Server, PostgreSQL or equivalent RDBMS knowledge.
• API and integration data modeling.
• Data migration and transformation concepts.
• Metadata management and data lineage practices.
• AWS Data Services awareness.
• UML, ERD and information architecture documentation.