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Key job responsibilities
You are a member of a 3 person DE team that owns the analytics infrastructure, standardize logging, and a central suite of fact and dim tables used by internal team members, CS business & tech partners, and Stores stakeholders across the globe. You will evolve our infrastructure to leverage latest technologies to balance accuracy and speed. You will partner with CS Tech teams to ensure new logging meets business and availability requirements. You will build and enhance central fact and dim tables to drive standardization and improve consumption by downstream consumers. Lastly, you will collaborate with DE teams across Stores to share 'best practices'.A day in the life
- 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.
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