Senior Data Engineer

24 hours ago

Hyderabad, India People Prime Worldwide Full time

Iimportant Note (Please Read Before Applying)Do NOT apply if:- You have less than 6 years of AI Senior Data Engineer experience.- You do not have hands-on Python, Azure, CI/CD, deployment,experience.- You are on a notice period longer than 15 days.- You are looking for remote only (role is hybrid inBangalore, Chennai, Hyderabad, Pune- You are a fresher or from unrelated backgrounds (e.g., Java-only, Testing-only, Support).✅ Apply ONLY if you meet ALL criteria above. Random / irrelevant applications will not be processed.Job Title: AI Senior Data EngineerLocation: Bangalore, Chennai, Hyderabad, Pune (Hybrid)Experience:6-8 Years (STRICTLY)Employment Type: PermanentNotice Period: Immediate Joiners /About the CompanyOur client is a trusted global innovator of IT and business services, present in 50+ countries. They specialize in digital & IT modernization, consulting, managed services, and industry-specific solutions. With a commitment to long-term success, they empower clients and society to move confidently into the digital future.Job Description.We are seeking a highly skilled and experienced Senior Data Engineer to join our dynamic team. The ideal candidate will have a strong background in Python, Azure, CI/CD, deployment, and writing efficient data pipelines. You will be responsible for designing, developing, and maintaining robust data infrastructure and pipelines that support our data-driven decision-making processes.Responsibilities:- AI Integration: Implement LLM-based workflows, RAG pipelines, and agentic orchestration using frameworks like LangChain, LangGraph, CrewAI, or similar.- Data Pipeline Development: Design, develop, and maintain efficient and scalable data pipelines using Python and Azure tech stack.- Collaboration: Work closely with data scientists, analysts, and other stakeholders to understand data requirements and deliver solutions that meet business needs.- Automation & Deployment: Containerize and deploy solutions using Docker, Kubernetes, and cloud-native architectures (Azure/AWS/GCP).- Monitoring & Governance: Ensure data quality, observability, and compliance with security standards.- Documentation: Create and maintain comprehensive documentation for data pipelines, processes, and solutions.- Troubleshooting: Identify and resolve data-related issues and bottlenecks.- Experience: 6-8 years of experience in data engineering, with a strong focus on Python, Azure, CI/CD, and deployment.-Technical Skills:- Machine Learning Fundamentals: Model training, feature engineering.- Generative AI & LLMs: Fine-tuning GPT/BERT, prompt engineering, RAG pipelines.- Data Engineering Expertise: Advanced ETL/ELT, handling structured/unstructured data.

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