Data Engineer

NTT DATA North America; Bengaluru; Hybrid; INR 1,800,000 - 3,000,000; Full time

Job summary

NTT DATA North America in Bengaluru, India, is seeking a Systems Integration Advisor to design and implement data integration solutions across batch and streaming workflows.

The role demands strong PySpark, AWS, PostgreSQL, Python, and SQL skills to build scalable pipelines, manage data lakes, and ensure data quality and governance for enterprise clients.

You will work with cross-functional teams, follow best practices, and contribute to cost-efficient, secure data architectures.

Qualifications

• Advanced PySpark experience for large-scale data processing.
• Hands-on AWS services experience (S3, Glue, EMR, Lambda).
• Expert PostgreSQL knowledge with complex queries.

Responsibilities

• Design, implement, and maintain scalable batch and streaming data pipelines.
• Build and manage data pipelines using PySpark and Python.
• Architect and optimize data lakes and storage with Amazon S3.
• Develop and optimize relational databases with PostgreSQL.
• ETL data from diverse sources into central storage.
• Tune SQL queries and PySpark jobs for performance and cost.
• Enforce security controls and data governance with AWS services.

Skills

PySpark

AWS S3

AWS Glue

AWS EMR

AWS Lambda

PostgreSQL

Python

SQL

Job description

India T&M Special Bonus:

Req ID: 386357

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

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

Required Technical Skills

• Core Frameworks: Advanced proficiency in Apache Spark / PySpark for large-scale distributed data processing.
• Cloud Infrastructure: Strong hands-on expertise in AWS services, specifically Amazon S3, AWS Glue, EMR, and Lambda.
• Database Systems: Expert-level knowledge of PostgreSQL (writing window functions, complex joins, and analytical stored procedures).
• Programming: Strong backend development skills in Python and advanced relational SQL.

Key Responsibilities

• Pipeline Development: Design, implement, and maintain scalable batch and streaming data pipelines using PySpark and Python.
• Cloud Storage & Data Lakes: Architecture, optimize, and manage large-scale data storage and repository design using Amazon S3.
• Database Management: Build, optimize, and manage relational databases using PostgreSQL, ensuring strict data integrity, schema consistency, and maximum query performance.
• Data Integration: Extract, transform, and load (ETL) data from diverse corporate sources into central storage engines.
• Performance Optimization: Monitor, troubleshoot, and fine-tune complex SQL queries, indexing, and PySpark jobs for cost and speed efficiency.
• Security & Governance: Implement access controls, encryption, and data masking protocols using AWS identity services.

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 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.

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.