Engineer the Data Backbone for AI with goML
At goML, we build modern Generative AI, AI/ML, and Data Engineering solutions that help enterprises turn data into intelligent, scalable systems. Our mission is to bridge advanced data platforms with real-world business needs—enabling faster insights, smarter decisions, and AI-ready foundations.
We’re looking for a Data Engineer (AWS) to join our growing team. In this role, you’ll design and deliver robust, scalable data pipelines and platforms across multiple client engagements. If you enjoy solving complex data problems, working close to customers, and building production-grade data systems, you’ll thrive here.
Why You? Why Now?
As enterprises modernize their data stacks to support analytics, AI, and GenAI use cases, strong data engineering becomes mission-critical. This role is ideal for someone who enjoys owning data solutions end to end, translating business needs into technical systems, and delivering high-quality outcomes in fast-moving environments.
What You’ll Do (Key Responsibilities)
First 30 Days: Context & Discovery
• Understand goML’s data engineering frameworks, delivery standards, and AWS architecture patterns
• Deep dive into ongoing client projects, data models, and ETL workflows
• Collaborate with stakeholders to understand business requirements and data challenges
• Review existing data pipelines and identify opportunities for improvement
First 60 Days: Build & Deliver
• Lead the design and development of data solutions across client engagements
• Build and optimize ETL pipelines and data integration workflows
• Apply best engineering practices including agile delivery, unit testing, and peer reviews
• Translate business requirements into explicit technical designs and implementation plans
• Work closely with cross-functional teams to ensure smooth execution from development to deployment
• Create and maintain technical documentation, solution designs, and test plans
First 180 Days: Ownership & Scale
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📌 Data Engineer (India)
🏢 goML
📍 India