Data Engineer Job By NTT Data Company | Don’t Miss this Chance

NTT Data Off Campus 2025:

NTT Data Career 2025 Responsibilities:

• Creates data models in a structured data format to enable analysis thereof.
• Designs and develops scalable extract, transformation and loading (ETL) packages from the business source systems and the development of ETL routines to populate data from sources,
• Participates in the transformation of object and data models into appropriate database schemas within design constraints.
• Interprets installation standards to meet project needs and produce database components as required.
• Creates test scenarios and be responsible for participating in thorough testing and validation to support the accuracy of data transformations.
• Accountable for running data migrations across different databases and applications, for example MS Dynamics, Oracle, SAP and other ERP systems.
• Works across multiple IT and business teams to define and implement data table structures and data models based on requirements.
• Accountable for analysis, and development of ETL and migration documentation.
• Collaborates with various stakeholders to evaluate potential data requirements.
• Accountable for the definition and management of scoping, requirements, definition, and prioritization activities for small-scale changes and assist with more complex change initiatives.
• Collaborates with various stakeholders, contributing to the recommendation of improvements in automated and non-automated components of the data tables, data queries and data models.

NTT Data off campus Eligibility Criteria:

• 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

Preferred skill:

• Seasoned knowledge of the definition and management of scoping requirements, definition and prioritization activities.
• Seasoned understanding of database concepts, object and data modelling techniques and design principles and conceptual knowledge of building and maintaining physical and logical data models.
• Seasoned expertise in Microsoft Azure Data Factory, SQL Analysis Server, SAP Data Services, SAP BTP.
• Seasoned understanding of data architecture landscape between physical and logical data models
• Analytical mindset with excellent business acumen skills.
• Problem-solving aptitude with the ability to communicate effectively, both written and verbal.
• Ability to build effective relationships at all levels within the organization.
• Seasoned expert in programing languages (Perl, bash, Shell Scripting, Python, etc.)

Click here for HR Interview Questions and Answers

NTT Data Recruitment Selection Process:

The selection process is a structured series of stages designed to identify and hire the most suitable candidates for various roles within the company. Here is an overview of the typical selection process:

1. Online Application: The process begins with candidates submitting their applications through the official careers website
2. Resume Screening: The Company’s recruitment team reviews the applications and resumes to assess whether candidates meet the basic qualifications and requirements for the position.
3. Online Assessments: Depending on the role, candidates may be required to complete online assessments or tests to evaluate their technical skills, knowledge, and problem-solving abilities.
4. Technical Interviews: For technical positions, candidates typically participate in one or more technical interviews.
5. Offer: Candidates who successfully complete all interview stages and reference checks will receive a formal job offer.
6. Background Check: Candidates who accept the offer may undergo a background check as part of the final hiring process.
7. Onboarding: After accepting the offer and completing all pre-employment checks, candidates will participate in the onboarding process. This includes orientation, training, and integration into the team.

Please note that the specific details of the selection process may vary based on the role, location, and the hiring team’s preferences. It’s essential for candidates to carefully review the job description and follow any instructions provided during the application process. Preparation for technical interviews and assessments is crucial to excel in the selection process.

Why Join NTT Data?

• Work-life balance: Competitive pay, comprehensive benefits, and flexible work schedules
• Professional development: Job training, conferences, and opportunities for career advancement
• Financial and retirement: 401(k) and performance bonuses
• Child care and parental leave: Adoption assistance
• Office perks: Company-sponsored outings
• Health insurance and wellness: Dental insurance
• Vacation and time off: Paid volunteer time