Job Description:
A Data Engineer in our Analytics and Science Team (AST) plays a key role in embedding a data culture within IES Shopping Experience organization. The ideal candidate will be passionate about working with massive datasets, growing a pool of diverse data professionals, and enhancing data capabilities.
Main Responsibilities:
* Work in a complex, large-scale data warehouse environment, building data analytics solutions to address business needs.
* Implement and operate stable, scalable data flow solutions from production systems into end-user applications and reports.
* Construct complex analyses, write scalable, high-performance code, and process data on Spark and Redshift.
Requirements:
* 1+ years of data engineering experience
* Experience with SQL, data modeling, warehousing, and building ETL pipelines
* Experience with one or more query languages (e.g., SQL, PL/SQL, DDL, MDX, HiveQL, SparkSQL, Scala)
* Experience with one or more scripting languages (e.g., Python, KornShell)
* PREFERRED: Experience with big data technologies such as Hadoop, Hive, Spark, EMR and ETL tools like Informatica, ODI, SSIS, BODI, Datastage, etc.