Bus. Proc. & Strat. Senior Analyst
NTT DATA BUSINESS SOLUTIONS · Chennai · onsite · Posted 51d ago
Undisclosed5–10 yrsfulltimeSourced from
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About this role
Job Summary
We are looking for an Associate Data AI Engineer (G9) with a solid foundation in data engineering on Azure and growing experience in Generative AI technologies such as RAG and LLM-based solutions.
This is an individual contributor role suited for a candidate who is eager to expand their expertise across data engineering and AI, working on modern data platforms and emerging AI use cases.
The ideal candidate is hands-on, curious, and adaptable, with the ability to contribute to both data pipeline development and AI-driven solutions.
Key Responsibilities
Data Engineering
- Support the design and development of data pipelines using Azure Data Factory, Databricks, and related services.
- Develop and maintain data transformations and workflows using SQL and PySpark.
- Work with structured and unstructured data to support analytics and AI use cases.
- Assist in implementing data models and optimizing data processing performance.
GenAI AI Development
- Contribute to building Generative AI solutions using LLMs (e.g., Azure OpenAI, OpenAI).
- Assist in developing RAG pipelines (data ingestion, embeddings, retrieval).
- Support implementation of basic Agentic AI workflows using frameworks like LangChain or similar.
- Participate in prompt engineering and testing of AI applications.
Databricks Processing
- Use Azure Databricks for data processing and transformation tasks.
- Develop and maintain PySpark-based pipelines under guidance from senior team members.
Python Machine Learning
- Write Python code for data processing, automation, and basic ML workflows.
- Assist in data preparation, feature engineering, and model evaluation.
Collaboration Learning
- Work closely with senior engineers, architects, and stakeholders on project delivery.
- Actively learn and adopt new technologies in Azure and Generative AI.
- Contribute to documentation and knowledge sharing within the team.
Required Skills Experience
Mandatory
- 35 years of experience in data engineering, software engineering, or AI/ML roles.
- Hands-on experience with Python.
- Working knowledge of SQL and data handling.
- Exposure to Microsoft Azure (Data Factory, storage, or compute services).
- Basic experience with Azure Databricks or PySpark.
- Exposure to Generative AI concepts, such as:
- LLMs and prompt engineering
- Basic understanding of RAG workflows
- Experience with data pipelines (ETL/ELT) concepts.
Nice to Have
- Hands-on experience with Azure OpenAI or similar LLM APIs.
- Basic understanding of machine learning concepts and libraries.
- Experience with Power BI or data visualization tools.
Sourced from naukri
Skills
AutomationData ingestionai developmentapisdata preparationdata platformsdata handlingai engineerAzure OpenAIAnalyticsdata modelsData EngineeringAzure Data FactoryAzure DatabricksData ProcessingMicrosoft AzureData PipelineArtificial Intelligence
About NTT DATA Business Solutions
NTT DATA BUSINESS SOLUTIONS
IT Services & Consulting
4k+
employees
1989
37 years old
Hyderabad / Secunderabad, Telangana
India
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NTT DATA Business Solutions helps clients innovate and transform through expert SAP solutions, advisory, implementation, and managed services.
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