Data Engineer Advisor

NTT DATA · Cybersecurity · Health Care · Python · SQL · ETL/ELT · Azure Data Factory · 2 days ago
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Location
In office (Bengaluru)
Employment
Full-Time

Confirmed on the employer's own hiring board on Nov 3, 2026. First seen by Alion on Nov 2, 2026. NTT DATA scores A on the Alion truth index.

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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 · Health Care · Cybersecurity · Data Centers & Colocation · Information Technology · Managed IT Services (MSP) · Financial Software & Embedded Finance · IT Consulting & Digital Transformation · Systems Integrators · 5000+ employees · Est. 1988
Tech stack of NTT DATA
Backed by Pamlico Capital

India T&M Special Bonus:

Data Engineer - Azure Databricks

  • Advanced SQL programming for more than 4 years
  • Data analysis skills for more than 2 years
  • Experience with Agile delivery frameworks/methodologies (e.g. Scrum, SAFe) and tools (i.e. Jira, Azure DevOps).
  • Demonstrate a proven track record of having implemented solutions using one or more agile methodologies in conjunction with a large system integration partner.
  • Experience with Azure Data Factory and Databricks including orchestrating and designing data pipelines for secure data solutions are preferred.
  • Industry certifications in Azure, Databricks or data architecture is advantageous.
  • Understanding and knowledge of system development life cycle methodologies (such as agile software development, rapid prototyping, incremental, synchronize and stabilize, and DevOps).
  • Experience in migrating data and associated systems from on prem to Cloud environments.
  • Knowledge of advanced analytics (models, tools, etc.) and their operational support is a plus.
  • Excellent verbal and written communication
  • Lloyds/Company Market (re)insurance experience with a good knowledge of London market or specialty insurance data domains and terminology is advantagous.
  • Knowledge of data warehousing and ETL/ELT pipelines.
  • Strong technical proficiency in SQL, Python, and data integration tools.
  • Hands-on experience with ETL tools and data orchestration (e.g., Azure Data Factory, Databricks).
  • Knowledge of data modelling, warehouse design, and architecture principles.
  • Experience with cloud platforms (especially Azure) for building and operating data solutions.
  • Understanding of Agile methodologies and tools (e.g., Jira, Azure DevOps).
  • Good communication skills to work with technical and business partners
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