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, apply now.
We are currently seeking a Data Engineer to join our team in Bengaluru, Karnātaka (IN-KA), India (IN).
- 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.
- 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.
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.
Job Segment: Database, SQL, Consulting, Technology
