Data Engineer, Marketing Tech BI, Stores Finance Analytics & Insights
Core
Design, develop, and operate scalable data pipelines and infrastructure to empower self-service analytics and support forecasting, experimentation, and GenAI use cases for maximizing Long Term Free Cash Flow.
Role type
Senior Data Engineer (Marketing Tech BI & Finance Analytics)
Builds
Scalable ETL/ELT workflows, data lake tables, Redshift clusters, and agentic analytics data products
Domain
Retail/Consumer Electronics, Data Engineering, Marketing Technology, Finance Analytics
Deliverable
production ML models | product features | dashboards & analysis
Required skills
Data modeling, ETL/ELT design, SQL, Python, Big data technologies (Hadoop, Hive, Spark, EMR), Data warehousing, Scripting
Preferred skills
AWS services (Redshift, S3, Glue, Kinesis), Non-relational databases, AI/ML technologies
Technologies
Redshift, S3, AWS Glue, EMR, Kinesis, FireHose, Lambda, Hive, Spark, Hadoop
Responsibilities
Own design and operation of data pipelines and datasets; Build and maintain scalable ETL/ELT workflows; Operate and improve data infrastructure including monitoring and data quality controls; Partner with stakeholders to translate business requirements into scalable solutions; Build and operate conversational and agentic analytics data products; Mentor junior engineers; Participate in on-call support for business-critical pipelines; Build guardrails for AI-generated outputs; Apply AI coding assistants to daily work
Seniority
Senior, hands-on IC