Data Engineer

NTT DATA, Inc.; Bengaluru; On-site; INR 1,200,000 - 2,000,000; Full time

Job summary

NTT DATA is seeking a Systems Integration Advisor in Bengaluru to design and operate data pipelines using PySpark and Python, with strong expertise in AWS services and PostgreSQL. This role emphasizes building scalable batch and streaming workflows in a cloud-first environment.

You'll optimize data storage with Amazon S3, ensure data integrity, and collaborate across teams to deliver reliable analytics solutions while advancing your skills in modern data architectures.

Qualifications

• Experience designing large-scale data processing pipelines.
• Strong knowledge of batch and streaming data processing.
• Proficiency with PySpark and Python.
• Expertise in PostgreSQL with complex queries.

Responsibilities

• Design, implement, and maintain scalable data pipelines using PySpark and Python.
• Architect large-scale data lake storage with Amazon S3.
• Develop and optimize PostgreSQL databases for performance and data integrity.
• Perform ETL from diverse sources into central storage.
• Fine-tune SQL queries and PySpark jobs for cost efficiency.

Skills

Apache Spark / PySpark

Python

SQL

PostgreSQL

AWS services

Tools

AWS Glue

Amazon S3

EMR

Lambda

PySpark

Job description

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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 recruiters will never ask for payment or banking information and will only use @nttdata.com, @nttdatafed.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 .

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