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.
A day in the life
Your morning is your focused time. You might spend it building new solutions, improving existing systems, solving operational issues, or pairing with a nearby EU colleague or stakeholder to work through a technical question. In the afternoon, the overlap with North America opens up and the pace shifts. This is when most team meetings, design reviews, and joint problem-solving with your NA counterparts happen. You will join sprint ceremonies with your agile squad, walk through designs with peers, and align with product and program managers on priorities. The rhythm gives you dedicated heads-down hours each day balanced with regular cross-timezone collaboration.
About the team
Global Procurement Technology sits within Global Procurement Operations and builds the data and technology products that power Amazon's procurement processes worldwide. Our key products include the supplier mapping framework, the trusted supplier data repository, and the supplier management system. The team is an agile group of data engineers, software engineers, scientists, and product and program managers, with Principal Engineers in the broader organization providing technical guidance. You will have the chance to build skills across engineering disciplines, and the team's collaborative setup means you can grow by contributing to software, data, and AI work alike.
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
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
Amazon is an equal opportunities employer. We believe passionately that employing a diverse workforce is central to our success. We make recruiting decisions based on your experience and skills. We value your passion to discover, invent, simplify and build. Protecting your privacy and the security of your data is a longstanding top priority for Amazon. Please consult our Privacy Notice (https://www.amazon.jobs/en/privacy_page) to know more about how we collect, use and transfer the personal data of our candidates.
Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.
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