Data Engineer

Who you are

• Do you love building scalable data pipelines and engineering reliable datasets? Are you excited by the opportunity to create foundational data infrastructure that powers decision-making across a complex logistics network? Do you want to work in a fast-paced environment, solving data challenges at the intersection of engineering and business impact?
• If this describes you, consider joining us
• Experience in data engineering
• Experience with data modeling, warehousing and building ETL pipelines
• Experience with one or more query language (e.g., SQL, PL/SQL, DDL, MDX, HiveQL, SparkSQL, Scala)
• Experience with one or more scripting language (e.g., Python, KornShell)
• Experience with any ETL tool like, Informatica, ODI, SSIS, BODI, Datastage, etc
• Knowledge of basics of designing and implementing a data schema like normalization, relational model vs dimensional model
• Knowledge of AWS Infrastructure

What the job involves

• You will have the opportunity to work alongside the industry's brightest engineers, who innovate every day on behalf of our customers
• You will have the opportunity to affect the evolution of Amazon technology, as well as lead mission-critical projects. Your work will contribute to solving some of the most complex technical challenges in the company
• In addition to working on impactful projects, you will have the opportunity to engage with Amazonians for both personal and professional development and expand your network
• Design, implement, and automate scalable data pipelines for collecting, transforming, and processing data from multiple sources (Redshift, Glue)
• Design and evolve data models and schemas ensuring accuracy, consistency, and alignment with single source of truth standards
• Own the development and maintenance of curated reference datasets and data assets to drive key business decisions
• Monitor and troubleshoot data quality issues and operational incidents in production pipelines
• Drive architectural plans and implementation for future data storage and integration solutions
• Collaborate with stakeholders across operations, finance, and science to translate business requirements into reliable data solutions
• Investigate and resolve root causes of data defects, ensuring data accuracy and reliability across the platform
• MINT (Miles Intelligence and Truth), within Supply Chain Execution Data & Analytics, delivers end-to-end data solutions for EU Transportation. We are the Single Source of Truth (SSOT) team - creating and owning the trusted reference datasets across different EU Transportation areas. We build scalable pipelines and self-service tools that drive data-driven decisions across the organisation