Noida Uttar Pradesh Lead data analyst – marketing & content analytics Jobs – 13 Open Jobs Today

Lead Data Analyst – Marketing & Content Analytics
WebSenor InfoTech —Noida, Uttar Pradesh
- Full-time
- Hybrid work
- Azure
- Computer Science
- Master's degree
Quick apply
Data Analyst
WebSenor InfoTech —Noida, Uttar Pradesh
- Full-time
- Hybrid work
- Microsoft Excel
- Azure
- Computer Science
Quick apply
Senior Data Analyst
Websenor —Noida, Uttar Pradesh
- Full-time
- Hybrid work
- Microsoft Excel
- SQL
- Communication skills
Quick apply
Marketing Analyst
Tsaaro Consulting —Noida, Uttar Pradesh
- Full-time
- Microsoft Powerpoint
- Microsoft Excel
- Marketing
14d
UI/UX Designer-Marketing and Content Analytics
WebSenor InfoTech —Noida, Uttar Pradesh
- Full-time
- Hybrid work
- Computer Science
- Bachelor's degree
- JavaScript
Quick apply
Senior Brand Lead
NetCom Learning —Noida, Uttar Pradesh
- Full-time
- Marketing
- Master's degree
- Project management
Quick apply
UI/UX Lead
Websenor —Noida, Uttar Pradesh
- Full-time
- Hybrid work
- JavaScript
- Marketing
- HTML
Quick apply
12d
Analyst - Marketing Operations & Effectiveness 4B
Genpact India Pvt. Ltd. —Noida, Uttar Pradesh
- Full-time
- Hybrid work
- English
- Master's degree
- Bachelor's degree
Quick apply
Director/ VP of Marketing
EDMO —Noida, Uttar Pradesh
- Sales
- Salesforce
- Analysis skills
Quick apply
Digital Marketing Analyst
CLANSTECH —Noida, Uttar Pradesh
- ₹20,000 - ₹40,000 a month
- Full-time
- Project management
- In-person
- Communication skills
- Paid time off
- Flexible schedule
Quick apply
UI/UX Designer
Websenor —Noida, Uttar Pradesh
- Full-time
- Hybrid work
- JavaScript
- Agile
- Communication skills
Quick apply
SEO Executive
Sunstar Hospitality —Karol Bagh, Delhi, Delhi
- ₹22,000 - ₹24,000 a month
- Full-time
- Hospitality
- Microsoft Excel
- Marketing
- Food provided
Quick apply
UI/UX Designer
WebSenor InfoTech —Noida, Uttar Pradesh
- Full-time
- Hybrid work
- Bachelor's degree
- JavaScript
- Agile
Quick apply

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Lead Data Analyst – Marketing & Content Analytics
WebSenor InfoTech —Noida, Uttar Pradesh
This role is ideal for data engineering professionals who are passionate about building scalable GenAI data platforms, enabling enterprise AI applications, and…
Quick apply
Marketing Analyst
Tsaaro Consulting —Noida, Uttar Pradesh
We believe in innovative, data-driven, and customer-focused marketing that delivers measurable business results while educating organizations about the value of…
14d

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Lead Data Analyst – Marketing & Content Analytics

WebSenor InfoTech -
Noida, Uttar Pradesh

Quick apply

Job details

Full-time

Qualifications

CI/CD
Azure
Cloud architecture
Law
Computer Science
Spark
Git
Master's degree
Application development
Databases
SQL
Analysis skills
Docker
Bachelor's degree
Machine learning
Continuous integration
Agile
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
Location: Offshore (2 Positions)
Employment Type: Full-Time

Job Summary

We are seeking an experienced Senior Data Engineer to build and optimize next-generation data platforms that power Generative AI and Large Language Model (LLM) applications. The ideal candidate will have strong expertise in designing scalable data pipelines for structured, unstructured, and multi-modal data while enabling Retrieval-Augmented Generation (RAG), vector search, embeddings, and AI-powered copilots.

This role requires hands-on experience in modern data engineering, Azure cloud technologies, MLOps, and GenAI workflows to develop production-grade AI data platforms and intelligent applications.

Key Responsibilities

Design, develop, and maintain scalable data pipelines for structured, unstructured, and multi-modal datasets.
Own the end-to-end machine learning lifecycle, including data ingestion, feature engineering, model training, evaluation, deployment, monitoring, retraining, and rollback.
Build and manage production-grade ML pipelines using Azure-native services with CI/CD automation and MLOps best practices.
Utilize Azure Machine Learning and MLflow for experiment tracking, model registry, versioning, and governed model deployment across development, testing, and production environments.
Design and implement Generative AI solutions using Azure OpenAI, embeddings, Retrieval-Augmented Generation (RAG), and vector search technologies.
Develop Agentic AI workflows with multi-step reasoning, tool integration, guardrails, observability, reliability, and cost optimization.
Build scalable batch and real-time data processing pipelines using Azure Databricks, Apache Spark, and Kafka.
Develop robust ingestion pipelines for text, documents, PDFs, logs, JSON, and other unstructured data sources.
Design and optimize RAG pipelines including document chunking, embedding generation, indexing, and semantic retrieval.
Implement and manage vector databases and vector search platforms such as Azure AI Search and Pinecone.
Collaborate with data scientists, AI engineers, and application teams to deliver scalable AI-ready data platforms.
Monitor pipeline performance, data quality, scalability, and system reliability while implementing continuous improvements.
Follow DevOps, MLOps, and Agile best practices for secure and automated deployments.

Required Skills & Qualifications

Bachelor's or Master's degree in Computer Science, Data Engineering, Information Technology, or a related field.
6–8 years of experience in Data Engineering with expertise in large-scale data processing.
Strong programming skills in Python, PySpark, and SQL.
Hands-on experience with:
Apache Spark
Apache Airflow
Apache Kafka
Azure Databricks
Experience building batch and streaming data pipelines.
Strong experience processing unstructured and semi-structured data including JSON, logs, documents, PDFs, and other text-based content.
Experience with cloud platforms, preferably Microsoft Azure.
Exposure to Azure Machine Learning, MLflow, and MLOps practices.
Hands-on experience with Generative AI concepts including:
Large Language Models (LLMs)
Retrieval-Augmented Generation (RAG)
Embeddings
Vector Databases
Semantic Search
Experience with vector search platforms such as Azure AI Search, Pinecone, or similar technologies.
Understanding of CI/CD pipelines, automation, monitoring, and production deployment strategies.
Strong analytical, problem-solving, and communication skills.

Preferred Qualifications

Experience with Azure OpenAI Service and AI-powered application development.
Knowledge of Agentic AI architectures and AI orchestration frameworks.
Experience working with multi-modal data pipelines and AI copilots.
Familiarity with data governance, security, and cloud architecture best practices.
Experience working in Agile development environments.
Azure Data Engineering, Databricks, or Azure AI certifications are a plus.

Preferred Technologies

Python
PySpark
SQL
Apache Spark
Apache Airflow
Apache Kafka
Azure Databricks
Azure Machine Learning
MLflow
Azure OpenAI
Azure AI Search
Pinecone
Vector Databases
Retrieval-Augmented Generation (RAG)
Embeddings
Large Language Models (LLMs)
CI/CD
Git
Docker
Azure DevOps

This role is ideal for data engineering professionals who are passionate about building scalable GenAI data platforms, enabling enterprise AI applications, and delivering production-ready data pipelines that power next-generation intelligent solutions.

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

Quick apply

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