Join Amazon India's Platform Development team as a Data/BI Engineer and contribute to building solutions for pan-Amazon India businesses. This role is pivotal in democratizing data access and enhancing productivity across the marketplace. You'll own the processing of every Amazon India transaction, partnering with business owners to leverage data for identifying improvements and optimizations. Build innovative deliverables such as business process automation, payment behavior analysis, campaign analysis, fingertip metrics, and failure prediction that drive informed decision-making and scale with growth. This position offers a unique opportunity at the intersection of technology and business, fostering growth and high impact alongside seasoned business leaders.

Design, implement, and support a robust data infrastructure tailored for large-scale analytics. Drive AI-native practices in data solution development and build AI-powered products to meet business needs. Interface with diverse technology teams to manage data extraction, transformation, and loading from various sources using AWS big data technologies like Redshift SQL and Spark SQL. Optimize data pipelines and develop Python-based automations for enhanced efficiency. Cultivate deep domain knowledge of Amazon's business operations. Possess strong communication skills, a self-driven attitude, and the ability to deliver high-quality results in a dynamic environment. Foster collaboration with peers, stakeholders, and customers. Continuously improve reporting and analysis processes through automation and self-service support. Explore and integrate the latest AWS technologies to introduce new capabilities and boost efficiency.

A solid technical foundation in data storage, processing, and analytics is essential, complemented by strong business acumen and a solution-oriented mindset. You should be a self-starter capable of translating business problems into optimal solutions. Excellent communication skills are necessary for effective collaboration with business owners and other teams. Embrace exploring new technologies when required and maintain a high sense of ownership for all team deliverables. A constant focus on customer delight, business impact, and achieving end results within business timelines is key. Requires 3+ years of experience in data engineering, proficiency in SQL, and experience with data modeling, warehousing, and ETL pipeline development. Familiarity with at least one modern scripting or programming language (Python, Java, Scala, NodeJS) is necessary, along with experience as a data engineer or in a related specialty (software engineer, BI engineer, data scientist) focused on extracting value from large datasets.