Data Engineer
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In this role you build and maintain scalable data pipelines and trusted datasets to power decision-making across EU Transportation. You join the MINT team, a SSOT initiative, working with engineers to shape data infrastructure and governance. You will tackle data quality, storage, and integration challenges while collaborating with operations, finance, and science. This is a fast-paced role at Amazon that combines engineering rigor with business impact, offering mentorship and cross-functional exposure.
Compensaciones / Beneficios
work-life balance
inclusive team culture
mentorship & career growth
Responsabilidades
Design, implement, and automate scalable data pipelines (Redshift, Glue)
Evolve data models and schemas to ensure accuracy and single source of truth
Develop and maintain curated reference datasets and data assets
Monitor data quality and troubleshoot production data incidents
Plan and implement future data storage and integration solutions
Collaborate with operations, finance, and science to translate requirements into data solutions
Investigate root causes of data defects to ensure reliability across the platform
Requisitos principales
Experience in data engineering
Experience with data modeling, warehousing, and building ETL xqbhyrx pipelines
Experience with SQL-based languages (e.g., SQL, PL/SQL) and other query languages
Experience with scripting (e.g., Python)
Understanding of data quality and data governance concepts
Cross-functional collaboration
Problem solving and analytical thinking
Communication and stakeholder management
SQL / PL-SQL / HiveQL / SparkSQL / Scala
Python scripting
ETL tools (Informatica, ODI, SSIS, BODI, Datastage)
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