At WW Operations (WWOps) Talent Management, we use data to drive all our decision making. The Talent Analytics team acts as an internal provider of analytical solutions, using quantitative approaches to uncover insight to drive changes and inform decisions. As the Data Engineer, you will work on a team transforming massive, complex data into quantifiable relationships, trends and actionable insights. We are looking for a strong problem-solver, who is skilled using data and technologies to implement solutions. In this role, you will design, implement and manage an analytical data infrastructure. You will collaborate closely with other engineers and scientists across the organization to create robust and scalable solutions to flow data from various source systems into the data warehouse and into end-user facing applications. This role also requires a significant understanding of data mining and analytical techniques. You will be expected to deliver at a high level against ambiguous problems
· Bachelor's degree in a quantitative/technical discipline such as Computer Science, Engineering, Statistics · 4+ years of relevant experience in one of the following areas: Data engineering, database engineering, business intelligence or business analytics · Demonstrable skills and experience writing complex, highly-optimized SQL queries across large data sets · Experience in scripting languages such as Python · Experience with AWS technologies such as Redshift, EMR, S3 · Experience in building reporting solutions using BI tools · Experience working with Open Source Big Data tools (Parquet, Spark,