13 ago
|
Amazon
|
Barcelona
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 an
📌 Data Engineer (Barcelona)
🏢 Amazon
📍 Barcelona