Digital platform for Adani consumer brands reaching millions of users
Adani Digital Labs operates a multi-brand consumer platform (Adani One Super App) built on .NET, Node.js, MongoDB, and Databricks, handling high-volume user traffic and transaction data across Adani's portfolio. The tech stack—particularly Databricks + PySpark for analytics, Sitecore for content, and Selenium/Cypress/Playwright for testing—reflects an engineering organization scaling for both consumer-facing features and data-driven campaign optimization. Active work on recommendation engines, A/B testing, and time-series forecasting signals a focus on conversion and personalization, while concurrent hiring across engineering, marketing, and product (21 open roles, 9 posted last 30 days) indicates rapid growth in a traffic and compliance-heavy environment.
Adani Digital Labs develops digital consumer platforms for the Adani conglomerate's brands, operating primarily in India. The core product—Adani One Super App—connects to millions of users across Adani's ecosystem. The organization manages both product development (recommendation engines, campaign execution, A/B testing) and operational complexity (data privacy compliance, consent frameworks, litigation support, security hardening). Engineering teams use .NET, Node.js, and Python; analytics rely on Databricks and PySpark; QA relies on modern automation tools (Selenium, Cypress, Playwright). The company faces typical constraints of high-scale consumer platforms: managing millions of concurrent users, optimizing marketing ROI, meeting privacy and compliance standards, and securing customer data.
Primary: ASP.NET, C#, .NET, Node.js, MongoDB, Python, SQL. Analytics: Databricks, PySpark. Content: Sitecore. Testing: Selenium, Cypress, Playwright. Project management: Jira, Azure DevOps, TestRail. Communication: WhatsApp, Meta, Instagram, Google.
Core focus: Adani One Super App. Active projects include recommendation engine development, A/B testing and conversion optimization, promotional and seasonal campaigns, time-series forecasting, data privacy and consent frameworks, and content migration planning.
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