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As a Sr. Data Engineer in Amazon Freight Data Analytics team, you will
· Build robust and scalable data integration (ETL) pipelines using SQL, EMR, Python and Spark.
· Build and deliver high quality data architecture to support business intelligence engineer and program managers’ reporting needs.
· Interface with other technology teams to extract, transform, and load data from a wide variety of data sources.
· Drive both business and technology solutions to improve Amazon Inbound visibility.
· Continually improve ongoing reporting and analysis processes, automating or simplifying self-service support for customers.
· Translate data into actionable insights for the stakeholders.
- 5+ years of data engineering experience
- Experience with data modeling, warehousing and building ETL pipelines
- Experience with SQL
- Experience in at least one modern scripting or programming language, such as Python, Java, Scala, or NodeJS
- Experience mentoring team members on best practices
- Experience with big data technologies such as: Hadoop, Hive, Spark, EMR
- Experience operating large data warehouses
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