About REA At REA we are shaping the future of real estate Our engineering teams are the architects behind the experiences that millions of property seekers rely on every day We use the latest technology to deliver best-in-class experiences to our customers What the role is all about We are looking for an Engineering Manager with 9-16 years of experience to lead the Audience Data team within the Personalization Privacy division of our Consumer Group This team is tasked with managing a significant data asset comprising terabytes of user interactions from our website and apps This data is crucial for our personalization efforts machine learning product insights and analytics as well as customer reporting functions You will collaborate closely with our AI team providing rich datasets essential for developing predictive models and personalized recommenders to enhance the accuracy and effectiveness of our machine learning solutions Additionally these comprehensive datasets facilitate in-depth analysis and understanding of user behaviour supporting data-driven decision-making across our business While no two days are likely to be the same your typical responsibilities will include End to end technical delivery of complex initiatives under our product management pipeline using agile methods and frameworks working with cross-disciplinary teams Provide technical leadership and guidance to the team serving as a subject matter expert in data engineering and related technologies Contribute to the design and architecture of scalable effective and secure data solutions considering long-term scalability and maintainability Provide guidance support and leadership to the team Establish effective ways of working within and across teams Embrace continuous learning leveraging latest development trends to solve complex challenges Drive delivery practices with Delivery Lead running agile scrum ceremonies and producing agile artefacts Contribute to the adoption of best practices coding sta

📌 Engineering Manager (Gurugram)
🏢 REA
📍 Gurugram