Amazon Data Engineer LMEA 

Japan 

335689410

Key job responsibilities
• Own the design, development, and maintenance of last mile data sets
• Manipulate/mine data from database tables (Redshift, Apache Spark SQL)
• Conduct deep dive investigations into issues related to incorrect and missing data
• Identify and adopt best practices in developing data pipelines and tables: data integrity, test design, build, validation, and documentation.
• Continually improve ongoing reporting and data processes in AMZL
• Work with in-house scientists, global supply chain, transportation and logistics teams, and software teams to identify new features and projects.
• Identify ways to automate complex processes through AWS.
• This is an individual contributor role that will partner with internal stakeholders across multiple teams, gathering requirements and delivering complete solutions

- 1+ years of data engineering experience
- 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)
- Speak, write, and read fluently in Japanese
- Speak, write, and read fluently in English

- Experience with big data technologies such as: Hadoop, Hive, Spark, EMR
- Experience with any ETL tool like, Informatica, ODI, SSIS, BODI, Datastage, etc.