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Data Engineer at NTT DATA responsible for transforming data into structured formats, designing ETL packages and data models using Microsoft Azure Data Factory, SQL Analysis Server, SAP Data Services, and big data tools like Hadoop and Cassandra in a hybrid role in Hyderabad.
Continue to make an impact with a company that is pushing the boundaries of what is possible. At NTT DATA, we are renowned for our technical excellence, leading innovations, and making a difference for our clients and…
Make an impact with NTT DATA Join a company that is pushing the boundaries of what is possible. We are renowned for our technical excellence and leading innovations, and for making a difference to our clients and…
Transforms financial data into actionable insights for business decisions, designing BI tools and dashboards to optimize decision-making and reporting.
Senior BI Analyst transforming financial data into dashboards, reports, and strategic recommendations for NTT DATA in São Paulo (hybrid, 1 day/week on-site). Core tools include Excel-based reporting and data collection/analysis software.
Senior Project Coordinator providing project administrative support—meeting coordination, budget tracking, resource utilization reporting, and documentation—for technology services projects at NTT DATA in a hybrid role in Bangalore.
The Associate Client Project Manager leads standard client projects from initiation to implementation, ensuring deliverables meet budget and quality standards. The role involves coordinating with stakeholders and managing project lifecycles, specifically focusing on SAP ERP and SuccessFactors implementations.
Entry-level IT Systems Administrator responsible for maintaining server and network availability, installing upgrades, monitoring performance, and managing user access using Microsoft Active Directory, Office 365, and LAN/WAN infrastructure.
Entry-level role supporting server and network maintenance, Active Directory, Office 365, and IT security in a hybrid environment.
Senior AI Solutions Engineer designing, prototyping, and deploying LLM-based AI solutions integrated with enterprise systems, building data pipelines, and managing cloud (Azure/AWS/GCP) AI infrastructure using Python and MLOps practices.
Monitor and maintain clients' cloud-based collaboration, contact centre, and voice systems, resolving incidents and ensuring service uptime.
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