The need is for a Data Engineer who can put the data together for data scientists to build models. Once the models are finished they will deploy them to the production environment and continue to monitor them. They need to understand the whole lifecycle of a data product and have a deep understanding of SQL and ETL. They need to have built pipelines and optimized pipelines in a Cloud environment (they use Azure). This is for a project related to net revenue management and forecasting models. The models are being built to predict changing prices of their products, knowing the impact of the pricing elasticity.
5+ years as a Data Engineer, putting the data together for the data scientists to build models (once the model is finished, deploy the model to the production environment and monitoring)
Understand the whole lifecycle of a data product
ETL skills and knowledge of ETL process (slow changing dimensions, data warehousing, data models etc.)
Exposure to cloud environment: Experience building pipelines and optimizing pipelines in an Azure environment using Databricks/DBFS, or AWS
Must live in Latin America
Experience in deploying models to the production environment
Strong with SQL, query and pull the data
Python
Benefit packages for this role will start on the 31st day of employment and include medical, dental, and vision insurance, as well as HSA, FSA, and DCFSA account options, and 401k retirement account access with employer matching. Employees in this role are also entitled to paid sick leave and/or other paid time off as provided by applicable law.