Amazon Data Engineer AWS Marketing SE 

United States, Washington, Seattle 

716761468

Key job responsibilities
- Design, implement, and support a platform providing ad-hoc access to large datasets- Build robust and scalable data integration (ETL) pipelines using SQL, Python and AWS services such as Data Pipelines, Glue
- Implement data structures using best practices in data modeling, ETL/ELT processes, and SQL/Redshift
- Interface with business customers, gathering requirements and delivering complete reporting solutionsA day in the life- Leverage new cloud architecture and data engineering patterns to ingest, transform and store data.
- Build and deliver high quality data solutions to support analysts, engineers and data scientists.
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- 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)

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