Data Engineer-Data Modeling

IBM; Bengaluru; On-site; INR 1,500,000 - 2,600,000; Full time

Job summary

IBM Bengaluru seeks a Data Engineer specializing in Data Modeling to design and implement data models for applications and related systems, translating business needs into logical and physical models.

You will apply expertise in ERWin, MDM, ETL, and related tools to deliver robust models, optimize data structures, and ensure seamless integration with existing infrastructure.

Qualifications

• Data Modeling Expertise: Experience with data modeling tools and techniques (ERWin/MDM/ETL) to deliver high-quality models.
• Logical and Physical Data Models: Design and implement models that meet business needs.
• Business Needs Translation: Translate business requirements into technical data models.
• Data Solution Implementation: Implement models and ensure integration with existing infrastructure.
• Data Model Optimization: Continuously optimize data models to meet evolving needs.

Responsibilities

• Design Data Models for applications and related systems.
• Translate business needs into logical and physical data models.
• Apply data modeling expertise using ERWin, MDM, ETL.
• Implement data models and ensure seamless integration.
• Continuously optimize data models to meet changing requirements.

Skills

Data Modeling

ERWin

MDM

ETL

Logical Data Model

Physical Data Model

Data Governance

Cloud Data Modeling

Education

Master's Degree

Tools

PowerDesigner

IBM InfoSphere Data Architect

Snowflake

Amazon Redshift

Job description

Introduction

A career in IBM Consulting is built on long-term client relationships and close collaboration worldwide. You’ll work with leading companies across industries, helping them shape their hybrid cloud and AI journeys. With support from our strategic partners, robust IBM technology, and Red Hat, you’ll have the tools to drive meaningful change and accelerate client impact. At IBM Consulting, curiosity fuels success. You’ll be encouraged to challenge the norm, explore new ideas, and create innovative solutions that deliver real results. Our culture of growth and empathy focuses on your long-term career development while valuing your unique skills and experiences.

Your Role And Responsibilities

As a Data Engineer specializing in Data Modeling, you will design and implement data models for applications and related systems, translating business needs into logical and physical data models. You will apply your expertise in data modeling tools and techniques to deliver high-quality solutions.

Your Primary Responsibilities Will Include

• Design Data Models: Design and implement data models for applications and related systems, ensuring alignment with business needs and requirements.
• Translate Business Needs: Translate business needs into logical and physical data models, utilizing expertise in data modeling tools and techniques.
• Apply Data Modeling Expertise: Apply knowledge of data modeling tools and techniques, including ERWin, MDM, and/or ETL, to deliver robust data models.
• Implement Data Solutions: Implement data models and related systems, ensuring seamless integration with existing infrastructure.
• Optimize Data Models: Continuously review and optimize data models to ensure they meet evolving business needs and requirements.

Preferred Education

Master's Degree

Required Technical And Professional Expertise

• Data Modeling Expertise: Experience with data modeling tools and techniques, including ERWin, MDM, and/or ETL, with the ability to apply this expertise to deliver high-quality data models.
• Logical and Physical Data Models: Experience in designing and implementing logical and physical data models that meet business needs and requirements.
• Business Needs Translation: Experience with translating business needs into technical data models, ensuring alignment with business requirements.
• Data Solution Implementation: Experience in implementing data models and related systems, ensuring seamless integration with existing infrastructure.
• Data Model Optimization: Experience in continuously reviewing and optimizing data models to ensure they meet evolving business needs and requirements.

Preferred Technical And Professional Experience

• Advanced Data Modeling Tools: Experience with data modeling tools beyond ERWin, MDM, and ETL, such as PowerDesigner or IBM InfoSphere Data Architect, to further enhance data model design and implementation.
• Data Governance Knowledge: Familiarity with data governance principles and practices to ensure data models align with organizational data management policies and standards.
• Cloud-Based Data Modeling: Exposure to cloud-based data modeling tools and technologies, such as Snowflake or Amazon Redshift, to support scalable and flexible data model implementation.