Data Engineer I, Inventory Health Tech (SCOT)
Technology, Data & Digital · Data, AI & Analytics · Data Engineering · Business Intelligence
In short
The Inventory Health team is seeking a Data Engineer to build data pipelines, launch features for emerging retail stores, and create analytics infrastructure for supply chain systems. This role influences key metrics like in-stock rates and delivery speed across multiple marketplaces, working closely with software engineers and applied scientists. The position requires experience in data modeling, ETL, and data visualization software, with preferred experience in big data technologies.
Responsibilities
- Build, own, and manage large-scale data pipelines for ingesting, transforming, and serving supply chain signals for inventory optimization.
- Build features and data applications for experimentation, ML model training, and production systems across multiple marketplaces.
- Collaborate with SDEs & Science teams to define data contracts, validate feature quality, and iterate on data representations for downstream models.
- Develop monitoring, alerting, and self-healing mechanisms for pipelines to ensure data integrity.
- Demonstrate curiosity to understand end-to-end systems beyond typical data engineering boundaries.
Requirements
- 1+ years of data engineering experience.
- Experience with data modeling, warehousing, and building ETL pipelines.
- Experience with data visualization software (e.g., AWS QuickSight or Tableau) or open-source projects.
Desired Qualifications
- Experience with big data technologies such as: Hadoop, Hive, Spark, EMR.
- Experience with any ETL tool like, Informatica, ODI, SSIS, BODI, Datastage, etc.
Benefits
- Work-life balance is valued.
- The team is approachable and supportive.
- Support during application, hiring, and onboarding processes for individuals with disabilities.
#Data Engineering#Inventory Management#Supply Chain