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Azure AI Data Analyst — Jobgether (Partner Hiring)
Hiring Partner: Jobgether (AI-matched recruitment platform)
Client Entity: International Technology & Innovation Partner Enterprise
Role Title: Azure AI Data Analyst
Location: India (Fully Remote)
Employment Type: Full-Time
Experience Level: 3+ Years of professional experience in IT or data engineering, with 1–3 years directly relevant in cloud data analysis or AI pipelines
Educational Requirement: Bachelor’s degree in Computer Science, Information Technology, Data Engineering, or a related technical discipline
Core Tool Stack: Azure Synapse, Google Cloud Platform (BigQuery, Vertex AI, Gemini), Python (Pandas,NumPy), Advanced SQL, ETL/ELT Pipelines
AI & Automation Stack: Generative AI, Large Language Models (LLMs), Agentic AI Workflows, Flowise AI,n8n, Zapier, REST APIs
About Jobgether & The Partner Company
Jobgether is an AI-powered talent matching platform connecting skilled technical professionals with global enterprises and high-growth technology companies.
This remote role is on behalf of an international technology client operating at the intersection of enterprise cloud platforms and artificial intelligence. The organisation bridges multi-cloud data environments (Azure and Google Cloud Platform) to engineer intelligent agentic solutions, automate ETL/ELT data pipelines, and deploy generative AI applications for modern enterprise workflows.
Role Overview
Jobgether’s partner is seeking a technically adept Azure AI Data Analyst to work remotely across India.
In this multi-cloud role, you will bridge the gap between Data Science, Data Engineering, and IT Operations. You will design, develop, and maintain robust ETL/ELT pipelines across Azure Synapse and Google BigQuery, structure datasets for Large Language Models (LLMs), configure Vertex AI and Gemini workflows, and build agentic AI automation using platforms like n8n or Flowise AI.
Key Responsibilities
Data Pipeline Engineering & Multi-Cloud Architecture
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ETL/ELT Development: Design, build, clean, and optimise ETL/ELT data pipelines to prepare structured datasets for machine learning models and Generative AI applications.
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Multi-Cloud Data Management: Manage and query large enterprise datasets using Azure Synapse and Google BigQuery, ensuring high performance, scalability, and data quality.
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API & System Integration: Support technical integrations connecting cloud platforms, databases, APIs,servers, and enterprise IT infrastructure components.
AI Integration & Agentic Workflow Orchestration
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AI Model Pipeline Support: Prepare and structure training/inference data for LLMs, Google Vertex AI, and Gemini model deployments.
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Agentic AI & Automation: Participate in configuring, testing, and deploying agentic AI workflow orchestration tools (Flowise AI, n8n, Zapier).
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System Troubleshooting: Analyze logs, investigate data anomalies, resolve API bottlenecks, and optimize cloud data processing workflows.
Stakeholder Collaboration & Documentation
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Cross-Functional Partnering: Collaborate with Data Engineering, Data Science, and IT infrastructure teams to define data availability and system readiness for AI projects.
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Technical Documentation: Maintain comprehensive architecture diagrams, data pipeline documentation,API integration specs, and operational runbooks.
Candidate Qualifications & Requirements
Required Experience & Core Skills
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Experience: 3+ years of professional experience in IT or data engineering, with 1–3 years in cloud data analytics or database manipulation.
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Cloud Database Mastery: Strong hands-on proficiency with Azure Synapse and Google BigQuery.
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Programming & Querying:
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Advanced SQL skills (complex joins, CTEs, performance optimization).
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High proficiency in Python (specifically Pandas and NumPy) for data transformation and analytics.
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Cloud & AI Foundations: Practical familiarity with Google Cloud AI tools (Vertex AI, Gemini, BigQuery),machine learning concepts, and Generative AI applications.
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Workflow Automation: Exposure to AI workflow orchestration tools such as Flowise AI, n8n, or Zapier.
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Problem-Solving & Documentation: Excellent analytical troubleshooting skills and a track record of creating clear, structured technical documentation.
Role Summary
| Attribute | Details |
| Job Title | Azure AI Data Analyst |
| Hiring Partner | Jobgether (Client: International Tech Partner) |
| Location | India (Fully Remote) |
| Experience | 3+ Years (1–3 Years directly in Cloud Data/AI) |
| Primary Skill Stack | Azure Synapse, Google BigQuery, Python (Pandas/NumPy), SQL, Vertex AI, Gemini |
| AI Stack | Generative AI, LLMs, Agentic Workflows, Flowise AI, n8n, Zapier |
| Core Deliverables | Multi-Cloud Data Pipelines, Agentic AI Orchestration, API Integration, Technical Documentation |
