Data Engineering Manager

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

Responsibilities

•Work closely with our data science team to help build complex algorithms that provide unique insights into our data

•Use agile 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

Skills and Qualifications

•Three or more years of experience with Python, SQL, and data visualization/exploration tools

•Familiarity with the Azure ecosystem, specifically Azure Data Lake Storage (ADL), Azure Data Factory (ADF), Azure Analysis Services (AAS) and Azure Databricks

•Communication skills, especially for explaining technical concepts to nontechnical business leaders

•Ability to work on a dynamic, research-oriented team that has concurrent projects

Preferred Qualifications

•Bachelor’s degree (or equivalent) in computer science, information technology, engineering, or related discipline

•Familiarity with the DAMA-DMBOK framework

•Experience in building or maintaining ETL/ELT processes

•Professional certification