Key job responsibilities
1. Design/implement automation and manage our massive data infrastructure to scale for the analytics needs of Amazon IN.3. Enable efficient data exploration, experimentation of large datasets on our data platform and implement data access control mechanisms for stand-alone datasets4. Design and implement scalable and cost effective data infrastructure to enable Non-IN(Emerging Marketplaces and WW) use cases on our data platform6. Must possess strong verbal and written communication skills, be self-driven, and deliver high quality results in a fast-paced environment.7. Drive operational excellence strongly within the team and build automation and mechanisms to reduce operations8. Enjoy working closely with your peers in a group of very smart and talented engineers.A day in the life
- 1+ years of data engineering experience
- Experience with SQL
- 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.
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