Noida Uttar Pradesh Data engineer – genai & unstructured data pipelines Jobs – 12 Open Jobs Today

Senior Data Engineer – GenAI & Unstructured Data Pipelines
WebSenor —Noida, Uttar Pradesh
- Full-time
- Azure
- Computer Science
- Master's degree
Quick apply
Senior Data Engineer – GenAI & Unstructured Data Pipelines
WebSenor InfoTech —Noida, Uttar Pradesh
- Full-time
- Hybrid work
- Azure
- DevOps
- Master's degree
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Gen AI Engineer
EXL Service —Noida, Uttar Pradesh
- Full-time
- Computer Science
- Master's degree
- AWS
AI Data Engineer
Websenor —Noida, Uttar Pradesh
- Full-time
- Hybrid work
- Azure
- Master's degree
- SQL
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AI Engineer
apexanalytix —Noida, Uttar Pradesh
- Full-time
- Computer Science
- B.Sc
- Master's degree
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11d
Senior Data Engineer
WebSenor InfoTech —Noida, Uttar Pradesh
- Full-time
- Hybrid work
- Computer science
- Azure
- Computer Science
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Manager - AI & Data (Context Layer)
Axtria, Inc. —Noida, Uttar Pradesh
- Azure
- Master's degree
- Databases
Technical Architect
JK Tech —Noida, Uttar Pradesh
- Azure
- SQL
- AWS
Director
Axtria, Inc. —Noida, Uttar Pradesh
- Azure
- Master's degree
- AWS
10d
Lead Data Analyst – Marketing & Content Analytics
WebSenor InfoTech —Noida, Uttar Pradesh
- Full-time
- Hybrid work
- Azure
- Computer Science
- Master's degree
Quick apply

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Senior Data Engineer – GenAI & Unstructured Data Pipelines

WebSenor
Noida, Uttar Pradesh

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Job details

Full-time

Qualifications

CI/CD
Azure
Law
Computer Science
Big data
Spark
Master's degree
Databases
SQL
Bachelor's degree
Machine learning
Continuous integration
JSON
Apache
Kafka
AI
Communication skills
Python
Information Technology

Full job description

Job Title: Senior Data Engineer – GenAI & Unstructured Data Pipelines
Experience: 6–8 Years
Employment Type: Full-Time

Role Summary

We are seeking an experienced Senior Data Engineer to design and build next-generation GenAI-powered data platforms that enable Large Language Model (LLM) applications. The ideal candidate will have extensive expertise in developing scalable data pipelines for unstructured and multi-modal data, implementing Retrieval-Augmented Generation (RAG) architectures, embeddings, vector search, and AI copilot solutions. The role requires strong experience in Azure cloud technologies, modern data engineering frameworks, and production-grade machine learning pipelines.

Key Responsibilities

Own the complete machine learning lifecycle including:
Data ingestion
Feature engineering
Model training
Evaluation
Deployment
Monitoring
Retraining
Rollback strategies
Design, develop, and maintain production-grade ML pipelines using Azure-native services with robust CI/CD automation.
Utilize Azure Machine Learning and MLflow for experiment tracking, model registry, and governed model promotion across Dev, Test, and Production environments.
Design and implement Generative AI solutions leveraging:
Azure OpenAI
Embeddings
Vector Search
Retrieval-Augmented Generation (RAG)
Build Agentic AI workflows with:
Multi-step reasoning
Tool integrations
Guardrails
Observability
Reliability
Cost optimization
Develop scalable batch and streaming data pipelines using Azure Databricks.
Build scalable pipelines for processing:
Text
Documents
Logs
PDFs
Multi-modal datasets
Design and implement RAG pipelines including:
Data chunking
Embedding generation
Retrieval workflows
Design, optimize, and manage vector search platforms such as Azure AI Search and Pinecone.
Develop both batch and real-time data ingestion pipelines using Apache Spark and Kafka.

Required Technical SkillsProgramming

Python
PySpark
SQL

Big Data Technologies

Apache Spark
Apache Airflow
Apache Kafka

Cloud Platforms

Microsoft Azure (Preferred)

Azure Services

Azure Databricks
Azure Machine Learning
Azure OpenAI
Azure AI Search

Machine Learning & MLOps

MLflow
CI/CD for ML pipelines
Model Registry
Model Monitoring
Experiment Tracking

Generative AI

Large Language Models (LLMs)
Retrieval-Augmented Generation (RAG)
Embeddings
Vector Databases
AI Copilots
Agentic AI Workflows

Data Engineering

Batch Processing
Streaming Pipelines
Feature Engineering
Unstructured Data Processing

Data Types

JSON
Logs
Documents
PDFs
Multi-modal Data

Required Experience

6–8 years of hands-on experience in Data Engineering.
Strong expertise in Python, PySpark, and SQL.
Experience with Apache Spark, Airflow, and Kafka.
Hands-on experience processing unstructured data such as JSON, logs, documents, and PDFs.
Experience working on Microsoft Azure cloud platforms.
Exposure to GenAI technologies including RAG pipelines, embeddings, and vector databases.

Preferred Qualifications

Bachelor's or Master's degree in Computer Science, Information Technology, Data Engineering, or a related field.
Azure certifications in Data Engineering or AI are an advantage.
Experience designing enterprise-scale AI and analytics platforms.
Familiarity with MLOps best practices and production AI deployments.

Soft Skills

Excellent analytical and problem-solving abilities.
Strong communication and stakeholder management skills.
Ability to work independently and within cross-functional teams.
Strong ownership mindset with attention to quality and scalability.
Passion for emerging AI and cloud technologies.

Work Location: Hybrid remote in Noida, Uttar Pradesh (Noida)

Quick apply

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