Description

Key Skills: AWS, Data Pipelines, ETL, Apache Airflow, Redshift, EMR, Lambda, Glue, Data Warehousing, Statistical Analysis

Good to Have Skills: Experience with EC2, RDS, Kinesis services, Business Intelligence solutions, self-service analytics platforms, and working with large complex datasets in e-commerce environments. Knowledge of trustworthy shopping experience operations and fraud detection systems would be beneficial.

Roles & Responsibilities:

• Design and implement architecture for next generation data pipelines and BI solutions
• Manage various AWS resources including EC2, RDS, Redshift, Kinesis, EMR, Lambda, and Glue services
• Build and deliver high quality data architecture and pipelines to support business analysts and data scientists
• Interface with technology teams to extract, transform, and load data from wide variety of sources
• Continually improve ongoing reporting and analysis processes by automating and simplifying self-service support
• Work closely with senior leaders and cross-functional teams to drive programs protecting buyers and sellers
• Develop innovative solutions to solve complex analytical problems using very large data sets

Experience Required: Experience working with large and complex data warehouse environments, statistical analysis, and developing solutions for complex analytical problems using large datasets

Key Skills

Education

Any Graduate