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You will work with a complicated data environment, employ the right architecture to handle data, and support various analytics use cases including business reporting, production data pipelines, machine learning, optimization models, statistical models, and simulations. The ideal candidate will utilize Generative AI tools to streamline data pipeline development, automate documentation generation, enhance code quality through AI-assisted reviews, and accelerate problem-solving in complex data scenarios. Experience with AI-powered development tools, automated testing frameworks, and intelligent data analysis platforms is highly valuedKey job responsibilities
A day in the life
This Role will:- Collect and Discuss requirements from Business Stakeholders across verticals such as Subscriptions, Sales, Reverse Logistics, Finance, Product, etc.- Maintaining/Improving existing data ingestions and ensuring they meet evolving standards and corporate mandates.
- Building and updating AI Agents to streamline Data Engineering Tasks
- 3+ years of data engineering experience
- Experience with data modeling, warehousing and building ETL pipelines
- Experience with SQL
- Experience with Gen AI enhanced development pipelines
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