Start Date
Immediate
Expiry Date
25 Jun, 25
Salary
65.0
Posted On
26 Mar, 25
Experience
2 year(s) or above
Remote Job
Yes
Telecommute
Yes
Sponsor Visa
No
Skills
Jenkins, Data Processing, Python, Network Design, Programming Languages, Ec2, Airflow, Data Classification, Enterprise Data, Flat Files, Data Audit, Automation, Distributed Systems, Data Governance, Design, Databases, Relational Databases
Industry
Information Technology/IT
ABOUT NTT DATA:
NTT DATA is a $30 billion trusted global innovator of business and technology services. We serve 75% of the Fortune Global 100 and are committed to helping clients innovate, optimize and transform for long term success. As a Global Top Employer, we have diverse experts in more than 50 countries and a robust partner ecosystem of established and start-up companies. Our services include business and technology consulting, data and artificial intelligence, industry solutions, as well as the development, implementation and management of applications, infrastructure and connectivity. We are one of the leading providers of digital and AI infrastructure in the world. NTT DATA is a part of NTT Group, which invests over $3.6 billion each year in R&D to help organizations and society move confidently and sustainably into the digital future. Visit us at us.nttdata.com
NTT DATA’s Client is seeking a Sr Data Engineer to join their AWS Cloud team, where you will be responsible for providing design and development of data ingestion pipelines from disparate data sources into the cloud.
Job Description
You will lead the delivery of the data products, leveraging Cloud Native strategies and best practices, drawing from 15+ years of IT experience.
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Required Skills
Ability to run custom LLMs using Amazon SageMaker.Ability to use Large Language Models (LLMs) for Data Classification and Identification of PII data entities
Nice to have Skills:
Where required by law, NTT DATA provides a reasonable range of compensation for specific roles. The starting pay range for this remote role is $48-$65/Hour. This range reflects the minimum and maximum target compensation for the position across all US locations. Actual compensation will depend on a number of factors, including the candidate’s actual work location, relevant experience, technical skills, and other qualifications. This position may also be eligible for incentive compensation based on individual and/or company performance.
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Please refer the Job description for details