Req ID: 377862 NTT DATA strives to hire exceptional, innovative and passionate individuals who want to grow with us. If you want to be part of an inclusive, adaptable, and forward-thinking organization, apply now. We are currently
We are seeking a highly skilled Data Engineer to design, develop, and maintain scalable data pipelines supporting Property & Casualty (P&C) Insurance Pricing, Rating, Underwriting, and Actuarial Analytics. The ideal candidate will have strong expertise in SQL, Snowflake, PySpark,
Role: Azure Senior Data Engineer: Experience: 5+ years Location: External - Pune Must Have: 1) 5-8 Years in Data Engineering skillsets 2) Excellent Communication and Attitude 3) Working experience in Azure Databricks, Python, Azure Data Factory, ADLS2, Azure, Function Apps,
Manage operational delivery and stakeholder relationships for assigned clients. Provide specialized consulting advice based on engagement requirements and support executive-level decision-making. Plan, monitor & manage operational delivery to ensure adherence to agreed quality parameters & timelines.
Job Summary: We are looking for 2 experienced GCP-focused Data Engineer / Platform Engineers with strong engineering depth and hands-on experience building scalable data platforms. The role requires expertise in designing and implementing end-to-end data pipelines and control frameworks, with the
Key Responsibilities 1. Solution Architecture & Technical Leadership Architect enterprise-grade agentic and LLM solutions (single-agent, multi-agent, tool-driven workflows) Define scalable GenAI system design patterns (RAG, orchestration layers, evaluation frameworks) Act as the technical anchor for GenAI
Key Responsibilities Design and develop LLM-based solutions for business use cases (e.g., chatbots, summarisation, document intelligence). Build and optimise RAG (Retrieval Augmented Generation) pipelines including data ingestion, embeddings, and retrieval. Implement prompt engineering techniques (prompt design, chaining,
About this role Role Overview Data and AI are central to our platform and competitive advantage. We are seeking a Senior / Principal Data Engineer (12+ years) to design, build, and operate large‑scale, enterprise data platforms, with deep AI/ML and
Role: Lead Data Engineer Experience: 9–12 years Location : Gurugram Must-Have Skills: 9+ years of relevant experience in Data Engineering and project delivery. Strong expertise in Big Data concepts and cloud implementation projects. Proficient in Snowflake, SQL, and AWS services
Role: Data Engineer Location: Gurugram (Hybrid) Key Role and Responsibilities: • Understand and translate business needs into data models supporting long-term solutions. • Perform reverse engineering of physical data models from databases and SQL scripts. • Analyse data-related system integration challenges
ClanX is hiring a Data Engineer Intern to work on production-grade data pipelines, data modeling, and analytics systems that power enterprise AI solutions for industrial equipment monitoring and predictive maintenance. Company Details This is an enterprise AI company building real-time
Mechademy is hiring a Senior Data Engineer to build and scale reliable data platforms, pipelines, and models that power enterprise AI, machine learning, and analytics for industrial asset monitoring and predictive maintenance. Company Details Mechademy is an enterprise AI
Key Responsibilities Architecture & Solution Leadership Lead the design of enterprise-grade GenAI and agentic architectures (single-agent, multi-agent, tool-driven systems). Define reference architectures, reusable frameworks, and best practices for LLM applications across the organisation. Architect and oversee
Key Responsibilities 1. Solution Architecture & Strategy Define and lead end-to-end architecture for enterprise GenAI platforms and use cases Design scalable agentic systems (single-agent, multi-agent, orchestration frameworks) Establish reference architectures, design patterns, and reusable frameworks Lead
We are looking for a highly motivated and detail-oriented Data Engineer to join our growing data and analytics team. In this role, the candidate will be responsible for designing, developing, optimizing, and maintaining scalable data pipelines and workflows that support
Key Responsibilities Design and develop LLM-powered applications using agentic patterns (single/multi-agent) for business use cases Build and optimise end-to-end RAG pipelines (ingestion, embeddings, retrieval, orchestration, response synthesis) Implement prompt engineering and orchestration techniques (prompt chaining, tool/function
Key Responsibilities Design and develop LLM-based applications using single-agent or simple multi-agent patterns for business use cases Build and maintain RAG pipelines: data ingestion → chunking → embeddings → retrieval → response generation Implement prompt engineering techniques
About this role About Aladdin Data & EDP Aladdin Data is responsible for the data platforms, products, and engineering capabilities that power BlackRock’s Aladdin ecosystem. It enables the delivery of trusted, governed, and scalable data and analytics that support investment
dunnhumby is the global leader in Customer Data Science, partnering with the world’s most ambitious retailers and brands to put the customer at the heart of every decision. We combine deep insight, advanced technology, and close collaboration
We are looking for an accomplished Lead Data Engineer to drive the architectural design, development, and optimization of our enterprise-scale data ecosystem. In this senior role, you will spearhead the build-out of high‑performance data pipelines, enforce rigorous data quality and validation