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Data Engineer

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Date: Apr 22, 2026

Location: Bengaluru, KA, IN

Company: NTT DATA Services

Req ID: 368404 

NTT DATA strives to hire exceptional, innovative and passionate individuals who want to grow with us. If you want to be part of an inclusive, adaptable, and forward-thinking organization, apply now.

We are currently seeking a Data Engineer to join our team in Bengaluru, Karnātaka (IN-KA), India (IN).

Role Overview

We are looking for a highly experienced Senior Data Engineer with strong hands‑on expertise in PySpark, Python, Hadoop, ETL, RDBMS, and Unix as primary skills. The role also requires exposure to GCP Vertex AI and Agentic AI as secondary skills, enabling the engineer to contribute to advanced analytics and AI‑driven data solutions on cloud platforms.

This position involves designing, building, and optimizing large‑scale data pipelines while collaborating with data scientists and AI teams to support intelligent, automated systems.

Primary Skill Set

Technologies

  • PySpark
  • Python
  • Hadoop Ecosystem
  • ETL / Data Pipelines
  • RDBMS (Oracle / PostgreSQL / MySQL, etc.)
  • Unix / Linux

Responsibilities

  • Design, develop, and maintain large‑scale batch and streaming data pipelines using PySpark and Hadoop
  • Write high‑performance Python and PySpark code for data ingestion, processing, and transformation
  • Build and optimize ETL frameworks for reliable and scalable data movement
  • Work with RDBMS systems for data modeling, query optimization, and integration
  • Perform data validation, reconciliation, and quality checks
  • Troubleshoot performance bottlenecks in distributed data processing jobs
  • Use Unix/Linux environments for scripting, scheduling, monitoring, and troubleshooting
  • Collaborate with data architects and downstream analytics teams

Secondary Skill Set

Technologies

  • GCP Vertex AI
  • Agentic AI

Responsibilities

  • Support integration of data pipelines with AI/ML workflows
  • Assist data science teams by providing clean, curated datasets for Vertex AI models
  • Participate in implementing Agentic AI concepts, such as:
    • AI‑driven orchestration
    • Autonomous data or decision workflows
  • Understand how data engineering supports LLM‑based or AI‑powered systems
  • Contribute to cloud‑based AI platform adoption and best practices

Experience & Qualifications

  • 7–10 years of experience in Data Engineering or Big Data roles
  • Strong hands‑on experience with PySpark, Python, and Hadoop
  • Proven expertise in ETL design and enterprise data pipelines
  • Solid understanding of RDBMS concepts and SQL optimization
  • Experience working in Unix/Linux environments
  • Exposure to GCP Vertex AI or AI/ML platforms is a strong plus
  • Understanding of Agentic AI concepts is desirable
  • Strong problem‑solving and communication skills

Nice to Have

  • Experience with cloud data platforms (GCP preferred)
  • Knowledge of data governance and lineage
  • Exposure to GenAI or AI‑driven data pipelines
  • Experience working in Agile environments

About NTT DATA

NTT DATA is a $30 billion business and technology services leader, serving 75% of the Fortune Global 100. We are committed to accelerating client success and positively impacting society through responsible innovation. We are one of the world's leading AI and digital infrastructure providers, with unmatched capabilities in enterprise-scale AI, cloud, security, connectivity, data centers and application services. our consulting and Industry solutions help organizations and society move confidently and sustainably into the digital future. As a Global Top Employer, we have experts in more than 50 countries. We also offer clients access to a robust ecosystem of innovation centers as well as established and start-up partners. NTT DATA is a part of NTT Group, which invests over $3 billion each year in R&D.

Whenever possible, we hire locally to NTT DATA offices or client sites. This ensures we can provide timely and effective support tailored to each client’s needs. While many positions offer remote or hybrid work options, these arrangements are subject to change based on client requirements. For employees near an NTT DATA office or client site, in-office attendance may be required for meetings or events, depending on business needs. At NTT DATA, we are committed to staying flexible and meeting the evolving needs of both our clients and employees. NTT DATA recruiters will never ask for payment or banking information and will only use @nttdata.com and @talent.nttdataservices.com email addresses. If you are requested to provide payment or disclose banking information, please submit a contact us form, https://us.nttdata.com/en/contact-us.

NTT DATA endeavors to make https://us.nttdata.com accessible to any and all users. If you would like to contact us regarding the accessibility of our website or need assistance completing the application process, please contact us at https://us.nttdata.com/en/contact-us. This contact information is for accommodation requests only and cannot be used to inquire about the status of applications. NTT DATA is an equal opportunity employer. Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability or protected veteran status. For our EEO Policy Statement, please click here. If you'd like more information on your EEO rights under the law, please click here. For Pay Transparency information, please click here.


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