Data Engineer - Bangalore

Data Engineer

ProArch is seeking talented Data Engineer to join our dynamic Data & Analytics team. As a Data Engineer, you will be responsible for designing, building, and maintaining scalable data pipelines that power analytics, intelligence layers, and AI use cases within the Zero Touch CSP and MSP AI-native platform. You will work closely with architects, AI engineers, and product teams to ensure data is reliable, governed, and ready for advanced intelligence and automation.

At ProArch, we partner with businesses around the world to turn big ideas into better outcomes through IT services that span cybersecurity, cloud, data, AI, and app development. We're 400+ team members strong across 3 countries (we call ourselves ProArchians)—and here's what connects us all:

• A love for solving real business problems
• A belief in doing what's right

What's it like to work here?

• You'll keep growing. You'll work alongside domain experts who love to share what they know.
• You'll be supported, heard, and trusted to make an impact.
• You'll take on projects that touch industries, communities, and lives.
• You'll have the time to focus on what matters most in your life outside of work.

At ProArch, you'll be part of teams that design and deliver technology solutions solving real business challenges for our clients. With services spanning AI, Data, Application Development, Cybersecurity, Cloud & Infrastructure, and Industry Solutions, your work may involve building intelligent applications, securing business‑critical systems, or supporting cloud migrations and infrastructure modernization.

Every role here contributes to shaping outcomes for global clients and driving meaningful impact. You'll collaborate with experts across data, AI, engineering, cloud, cybersecurity, and infrastructure—solving complex problems with creativity, precision, and purpose. You'll join a culture rooted in technology, curiosity, and continuous learning. A place where we move fast, trust you to make an impact, encourage innovation, and support your growth.

Key Responsibilities:

• Design, develop, and maintain end-to-end data pipelines using Microsoft Fabric, Spark notebooks, and Python
• Implement ingestion patterns for structured and semi-structured data from APIs, databases, and files
• Build scalable transformations following medallion architecture (Bronze, Silver, Gold)
• Optimize Spark jobs for performance, cost, and reliability
• Work with Fabric Lakehouse, Dataflows Gen2, and Notebooks
• Prepare datasets for AI/ML and LLM-based use cases
• Implement logging, monitoring, and error handling
• Follow data governance, naming standards, and documentation practices