Posted May 5, 2026
Key Responsibilities:
Qualification Required:
Bachelor's degree or equivalent in computer science, software engineering, information technology, or a related field
Relevant certifications preferred such as SAP, Microsoft Azure etc. - Certified Data Engineer, Certified Professional certification preferred Additional Details (About NTT DATA): NTT DATA is a $30+ billion trusted global innovator of business and technology services. Serving 75% of the Fortune Global 100, NTT DATA is committed to helping clients innovate, optimize, and transform for long-term success. With over $3.6 billion invested each year in R&D, NTT DATA aims to help organizations and society move confidently and sustainably into the digital future. As a Global Top Employer, NTT DATA has diverse experts in more than 50 countries and a robust partner ecosystem of established and start-up companies. Their services include business and technology consulting, data and artificial intelligence, industry solutions, as well as the development, implementation, and management of applications, infrastructure, and connectivity. NTT DATA is also one of the leading providers of digital and AI infrastructure in the world. Join the growing global team at NTT DATA and accelerate your career by applying today. Role Overview: You will be responsible for designing and developing conceptual, logical, and physical data models on RDBMS for enterprise applications. Collaborating with business stakeholders and application architects to understand data requirements and develop data models to meet user requirements. It is preferred to have experience in using industry standard data modeling tools and developing ER diagrams, as well as expertise in Oracle DBMS and hands-on knowledge in PL/SQL. Key Responsibilities:
Create data models in a structured data format to enable analysis
Design and develop scalable extract, transformation and loading (ETL) packages from the business source systems
Participate in the transformation of object and data models into appropriate database schemas within design constraints
Interpret installation standards to meet project needs and produce database components as required
Create test scenarios and participate in thorough testing and validation to support the accuracy of data transformations
Run data migrations across different databases and applications such as MS Dynamics, Oracle, SAP, and other ERP systems
Define and implement data table structures and data models based on requirements
Analyze and develop ETL and migration documentation
Evaluate potential data requirements and recommend improvements in automated and non-automated components of the data tables, data queries, and data models
Qualification Required:
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