Data Engineer I, Amazon Business Ops Analytics
Core
Designing scalable data architecture, building ETL pipelines, and supporting data warehouse/lake platforms for B2B supply chain analytics and ML/AI model development.
Role type
Data Engineer I
Builds
Data pipelines, data warehouse & data lake platforms, and data applications for B2B supply chain operations.
Domain
B2B eCommerce, Supply Chain Operations, Data Engineering
Deliverable
production ML models | product features | dashboards & analysis
Required skills
Data modeling, Warehousing, ETL pipeline development, SQL/PL/SQL/HiveQL/SparkSQL/Scala, Python/KornShell scripting
Preferred skills
Big data technologies (Hadoop, Hive, Spark, EMR), ETL tools (Informatica, ODI, SSIS, BODI, Datastage)
Technologies
Hadoop, Hive, Spark, EMR, Informatica, ODI, SSIS, BODI, Datastage, SQL, PL/SQL, DDL, MDX, HiveQL, SparkSQL, Scala, Python, KornShell
Responsibilities
Design and develop data architecture and standards; Build and support data warehouse & data lake platforms; Develop collaborative relationships with data engineering, software development, research, modeling, and marketing teams; Develop the team's data strategy and technical roadmap for data storage and pipelines.
Seniority
Junior, hands-on IC
