ETL developer

NTT DATA · Cybersecurity · Health Care · Python · SQL · Tableau · Power BI · ETL/ELT · Matillion · 3 days ago
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Location
In office (Bengaluru)
Seniority
Senior · 5+ years exp
Visa
Sponsors visas in United States, Ireland, United Kingdom; no register of this country names it
Employment
Full-Time

Confirmed on the employer's own hiring board on Nov 6, 2026. First seen by Alion on Nov 4, 2026. NTT DATA scores A on the Alion truth index.

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Profile match

NTT DATA

NTT DATA is a Tokyo system integrator founded in 1988 that spun out of the data communications arm of NTT. It is one of the largest information technology services firms in the world, building banking, public sector and payment systems and operating global consulting and managed services. The company runs the CAFIS payment network used across Japanese retail and banking.
nttdata.com · HQ: Tokyo, Toyosu, Japan · IT Outsourcing & Dedicated Teams · Data Centers & Colocation · Managed IT Services (MSP) · IT Consulting & Digital Transformation · Systems Integrators · 5000+ employees · Est. 1988
Tech stack of NTT DATA
Backed by Pamlico Capital

India T&M Special Bonus:

  • 5+ years of development experience in Matillion and Snowflake (Mandatory)
  • Strong experience and knowledge on writing Complex SQL queries, Matillion development, enhancements and understanding complex ETL process
  • Good Knowledge on reporting Tool like Power BI & Tableau
  • Good knowledge on Business Intelligence and Data Analytics, ETL
  • Work independently with Architect & PO and drive the project as needed
  • Utilize advanced SQL and other programming languages to manipulate and analyses data.
  • Implement data warehousing solutions and maintain data models.
  • Good experience in debugging & back tracing issue
  • Version control tools - GIT, AWS & Python are Plus
  • Design, Test documents preparation and ETL best practices
  • Knowledge on Agile/ Scrum
  • Strong analytical and problem-solving skills.
  • Excellent communication and interpersonal skills.
  • Proficiency in SQL and data modelling.
  • Knowledge of data warehousing concepts and techniques.
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