Data Engineer II, Compliance Shared Services, RISC
Core
Design, build, and maintain large-scale robust data pipelines and infrastructure to empower data and analytics initiatives for compliance reporting and business efficiency.
Role type
Senior Data Engineer (Compliance & Risk)
Builds
Automated ETL/ELT pipelines, data warehouse and data lake architectures, reporting infrastructure, and GenAI-powered self-service tooling.
Domain
E-commerce / Regulatory Compliance / Cloud Data Engineering
Deliverable
production ML models | product features | dashboards & analysis
Required skills
Python, SQL, Spark, Data Modeling, ETL/ELT, Data Warehousing, Orchestration, Cost Optimization, Security Implementation, Metadata Management
Preferred skills
AWS Redshift, AWS Glue, AWS EMR, AWS Kinesis, AWS FireHose, IAM, Non-relational databases, GenAI tooling, Agentic workflows
Technologies
Python, Spark, SQL, AWS Redshift, AWS S3, AWS Glue, AWS Lambda, AWS EventBridge, AWS Step Functions, AWS Bedrock, AWS IAM
Responsibilities
Design and develop automated ETL/ELT pipelines with monitoring; Optimize data warehouse and data lake architectures; Implement reporting and analytics infrastructure; Develop optimized data models and transformations; Develop and maintain enterprise-scale data security solutions; Maintain data warehouse and data lake metadata and documentation; Collaborate with stakeholders to implement data publishing requirements; Build self-service tooling and automation including GenAI agents; Design and operate compliance-critical data validation pipelines; Monitor and optimize cluster/compute resource utilization.
Seniority
Senior, hands-on IC
