Data Engineer (ETL and Python)

Objectives of this role Work with data to solve business problems, building and maintaining the infrastructure to answer questions and improve processes Help streamline our data science workflows, adding value to our product offerings and building out the customer lifecycle and retention models Work closely with the data science and business intelligence teams to develop data models and pipelines for research, reporting, and machine learning Be an advocate for best practices and continued learning

Work closely with our data science team to help build complex algorithms that provide unique insights into our data Use agile software development processes to make iterative improvements to our back-end systems Model front-end and back-end data sources to help draw a more comprehensive picture of user flows throughout the system and to enable powerful data analysis Build data pipelines that clean, transform, and aggregate data from disparate sources Develop models that can be used to make predictions and answer questions for the overall business

Required skills and qualifications: Communication skills, especially for explaining technical concepts to nontechnical business leaders Ability to work on a dynamic, research-oriented team that has concurrent projects Need a hardcore, heavy hitting Data Engineer who is extremely skilled and is able to function independently and manage their deliverables Capable of writing ETL pipelines using Python from scratch

Expert in OOP principles and concepts Ability to independently write efficient and reusable code for ETL pipelines Expert in data modeling concepts such as schemas and entity relationships

Expert at analyzing and developing queries in SQL in various dialects (SQL Server, DB2, Oracle)