Data Engineer
2 weeks ago
We're looking for a Data Engineer to help design, build, and maintain a modern data platform on Azure. You'll work on the systems that collect, process, and deliver data — supporting analytics, dashboards, and AI-powered insights used across the organization.
This role focuses on data pipelines, data models, automation, and APIs — ensuring clean, reliable, and real-time data is always available for data scientists, analysts, and other backend services.
Key Responsibilities:
· Design and manage data pipelines that collect and transform data from multiple microservices.
· Build and optimize analytics data models and storage structures using Azure services like Data Lake or SQL Database.
· Automate data workflows using tools like Windmill or n8n.
· Develop analytics APIs and collaborative working with backend to make processed data available to frontend and other systems.
· Maintain data quality and observability with proper monitoring and version control.
· Work closely with DevOps and backend teams to implement CI/CD pipelines in Azure DevOps.
· Integrate with AI and ML tools (such as LangChain or Azure AI) to make analytics smarter and more automated.
· Use Python and SQL to build and maintain ETL/ELT workflows that process and prepare data efficiently.
- Requirements:
- Bachelor's degree in Computer Science or a related discipline
- 2–4 years of experience
- Tech Stack
- Azure: Data Lake · Azure DevOps · Postgresql
- Automation: Windmill · n8n
- Messaging / Events: Kafka
- Languages: Python · SQL · TypeScript
- Frameworks: FastAPI · Flask ·
- AI & ML: LangChain · Azure AI Stack
- Proven ability to troubleshoot complex system issues under pressure
- Excellent analytical and problem-solving skills
- Strong communication skills to interface effectively across teams
Job Type: Full-time
Pay: ₹100, ₹180,000.00 per month
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