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Data Engineer Job Opening In Bengaluru – Now Hiring NTT DATA


Job description

Job Description

Make an impact with NTT DATA
Join a company that is pushing the boundaries of what is possible.

We are renowned for our technical excellence and leading innovations, and for making a difference to our clients and society.

Our workplace embraces diversity and inclusion – it’s a place where you can grow, belong and thrive.

Your day at NTT DATA

The Data Engineer is a seasoned subject matter expert, responsible for the transformation of data into a structured format that can be easily analyzed in a query or report.



This role is responsible for developing structured data sets that can be reused or complimented by other data sets and reports.



This role analyzes the data sources and data structure and designs and develops data models to support the analytics requirements of the business which includes management / operational / predictive / data science capabilities.

What you'll be doing

Key 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.

  • Knowledge and Attributes:

  • 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.).

  • Academic Qualifications and Certifications:

  • 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.

  • Required Experience:

  • Seasoned experience as a data engineering, data mining within a fast-paced environment.
  • Proficient in building modern data analytics solutions that delivers insights from large and complex data sets with multi-terabyte scale.
  • Seasoned experience with architecture and design of secure, highly available and scalable systems.
  • Seasoned proficiency in automation, scripting and proven examples of successful implementation.
  • Seasoned proficiency using scripting language (Perl, bash, Shell Scripting, Python, etc.).
  • Seasoned experience with big data tools like Hadoop, Cassandra, Storm etc.
  • Seasoned experience in any applicable language, preferably .NET.
  • Seasoned proficiency in working with SAP, SQL, MySQL databases and Microsoft SQL.
  • Seasoned experience working with data sets and ordering data through MS Excel functions, e.g. macros, pivots.
  • Workplace type:

    Hybrid Working

    About NTT DATA
    NTT DATA is a $30+ billion trusted global innovator of business and technology services.

    We serve 75% of the Fortune Global 100 and are committed to helping clients innovate, optimize and transform for long-term success.

    We invest over $3.6 billion each year in R&D to help organizations and society move confidently and sustainably into the digital future.

    As a Global Top Employer, we have diverse experts in more than 50 countries and a robust partner ecosystem of established and start-up companies.

    Our 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.

    We are also one of the leading providers of digital and AI infrastructure in the world.

    NTT DATA is part of NTT Group and headquartered in Tokyo.

    Equal Opportunity Employer
    NTT DATA is proud to be an Equal Opportunity Employer with a global culture that embraces diversity.

    We are committed to providing an environment free of unfair discrimination and harassment.

    We do not discriminate based on age, race, colour, gender, sexual orientation, religion, nationality, disability, pregnancy, marital status, veteran status, or any other protected category.

    Join our growing global team and accelerate your career with us.

    Apply today.

    Apply Apply Back to search results

    Required Skill Profession

    Computer Occupations


    • Job Details

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    Unlock Your Data Engineer Potential: Insight & Career Growth Guide


    Real-time Data Engineer Jobs Trends (Graphical Representation)

    Explore profound insights with Expertini's real-time, in-depth analysis, showcased through the graph here. Uncover the dynamic job market trends for Data Engineer in Bengaluru, India, highlighting market share and opportunities for professionals in Data Engineer roles.

    677887 Jobs in India
    677887
    59583 Jobs in Bengaluru
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    Download Data Engineer Jobs Trends in Bengaluru and India

    Are You Looking for Data Engineer Job?

    Great news! is currently hiring and seeking a Data Engineer to join their team. Feel free to download the job details.

    Wait no longer! Are you also interested in exploring similar jobs? Search now: .

    The Work Culture

    An organization's rules and standards set how people should be treated in the office and how different situations should be handled. The work culture at NTT DATA adheres to the cultural norms as outlined by Expertini.

    The fundamental ethical values are:

    1. Independence

    2. Loyalty

    3. Impartiapty

    4. Integrity

    5. Accountabipty

    6. Respect for human rights

    7. Obeying India laws and regulations

    What Is the Average Salary Range for Data Engineer Positions?

    The average salary range for a varies, but the pay scale is rated "Standard" in Bengaluru. Salary levels may vary depending on your industry, experience, and skills. It's essential to research and negotiate effectively. We advise reading the full job specification before proceeding with the application to understand the salary package.

    What Are the Key Qualifications for Data Engineer?

    Key qualifications for Data Engineer typically include Computer Occupations and a list of qualifications and expertise as mentioned in the job specification. The generic skills are mostly outlined by the . Be sure to check the specific job listing for detailed requirements and qualifications.

    How Can I Improve My Chances of Getting Hired for Data Engineer?

    To improve your chances of getting hired for Data Engineer, consider enhancing your skills. Check your CV/Résumé Score with our free Tool. We have an in-built Resume Scoring tool that gives you the matching score for each job based on your CV/Résumé once it is uploaded. This can help you align your CV/Résumé according to the job requirements and enhance your skills if needed.

    Interview Tips for Data Engineer Job Success

    NTT DATA interview tips for Data Engineer

    Here are some tips to help you prepare for and ace your Data Engineer job interview:

    Before the Interview:

    Research: Learn about the NTT DATA's mission, values, products, and the specific job requirements and get further information about

    Other Openings

    Practice: Prepare answers to common interview questions and rehearse using the STAR method (Situation, Task, Action, Result) to showcase your skills and experiences.

    Dress Professionally: Choose attire appropriate for the company culture.

    Prepare Questions: Show your interest by having thoughtful questions for the interviewer.

    Plan Your Commute: Allow ample time to arrive on time and avoid feeling rushed.

    During the Interview:

    Be Punctual: Arrive on time to demonstrate professionalism and respect.

    Make a Great First Impression: Greet the interviewer with a handshake, smile, and eye contact.

    Confidence and Enthusiasm: Project a positive attitude and show your genuine interest in the opportunity.

    Answer Thoughtfully: Listen carefully, take a moment to formulate clear and concise responses. Highlight relevant skills and experiences using the STAR method.

    Ask Prepared Questions: Demonstrate curiosity and engagement with the role and company.

    Follow Up: Send a thank-you email to the interviewer within 24 hours.

    Additional Tips:

    Be Yourself: Let your personality shine through while maintaining professionalism.

    Be Honest: Don't exaggerate your skills or experience.

    Be Positive: Focus on your strengths and accomplishments.

    Body Language: Maintain good posture, avoid fidgeting, and make eye contact.

    Turn Off Phone: Avoid distractions during the interview.

    Final Thought:

    To prepare for your Data Engineer interview at NTT DATA, research the company, understand the job requirements, and practice common interview questions.

    Highlight your leadership skills, achievements, and strategic thinking abilities. Be prepared to discuss your experience with HR, including your approach to meeting targets as a team player. Additionally, review the NTT DATA's products or services and be prepared to discuss how you can contribute to their success.

    By following these tips, you can increase your chances of making a positive impression and landing the job!

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