Data engineer for procurement

Data is at the heart of procurement. Do you want to make that data AI-ready — powering not just insight but autonomous decision-making and action at a global scale? As a Data Engineer on the Global Procurement Technology team, you will build the data foundation that drives AI transformation across Amazon's procurement organization. You will design and deliver data solutions end to end: creating supplier entity relationships, aggregating supplier data, enabling supplier performance and risk analysis, and providing supplier sourcing recommendations worldwide.

• Design and maintain scalable ETL/ELT pipelines and data models that support procurement analytics, supplier mapping, and the trusted supplier data repository.
• Create logical and physical data models across large datasets from multiple internal and external sources, ensuring data quality and consistency.
• Build self-service data infrastructure and curated datasets that let business intelligence engineers, scientists, and business teams access reliable data on their own.
• Collaborate with software engineers, scientists, and product and program managers to turn business requirements into well-documented, high-performing data solutions.
• Evaluate generative AI tooling for data workflows where appropriate, contributing to the team's broader AI transformation efforts.

• Experience as a data engineer or related specialty (e.g., software engineer, business intelligence engineer, data scientist) with a track record of manipulating, processing, and extracting value from large datasets
• Experience working on and delivering end to end projects independently
• Experience with data modeling, warehousing and building ETL pipelines
• Experience with SQL
• Experience with Redshift, Oracle, NoSQL etc.
• Experience programming with at least one modern language such as C++, C#, Java, Python, Golang, PowerShell, Ruby
• Knowledge of professional software engineering & best practices for full software development life cycle, including coding standards, software architectures, code reviews, source control management, continuous deployments, testing, and operational excellence
• Будет плюсом: Experience with AWS technologies like Redshift, S3, AWS Glue, EMR, Kinesis, FireHose, Lambda, and IAM roles and permissions; Experience with non-relational databases / data stores (object storage, document or key-value stores, graph databases, column-family databases); Experience building/operating highly available, distributed systems of data extraction, ingestion, and processing of large data sets; Experience with big data technologies such as: Hadoop, Hive, Spark, EMR

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