Data Engineer I, SPIV Data Engineering
Core
Design, implement, and maintain scalable data infrastructure and pipelines for fraud detection across the seller lifecycle using medallion architecture.
Role type
Data Engineer I (IC)
Builds
Scalable data systems and medallion architecture pipelines
Domain
E-commerce / Fraud Prevention / Data Engineering
Deliverable
production ML models
Required skills
SQL, data modeling, warehousing, ETL pipeline development, scripting (Python/KornShell), query languages (SparkSQL/Scala/HiveQL)
Preferred skills
Big data technologies (Hadoop, Hive, Spark, EMR), ETL tools (Informatica, ODI, SSIS, Datastage)
Technologies
Medallion architecture, Hadoop, Hive, Spark, EMR, Informatica, ODI, SSIS, Datastage
Responsibilities
Design and develop scalable, high-performance data systems; Optimize data storage and retrieval systems; Implement data quality checks and monitoring systems; Collaborate with data scientists to understand requirements and implement solutions; Sync with team on pipeline status and resolve ETL failures.