Leverage prototyping methodologies to propose and design creative business solutions that exploit our broad toolset of technologies (Big Data, MicroStrategy, Tableau, Python, Spark etc.)
Work in Spark Scala, Python and Pandas in an AWS Infrastructure
Educate and inform business partners on architecture, capabilities, best practices and solutions to build out future enhancements
Assist in analyzing business requirements, source systems, understand underlying data sources, transformation requirements, data mapping, data model and metadata for reporting solutions
Write clear documentation and architecture diagrams ,and keep them up to date as code and frameworks change over time.

Bachelor’s degree in Engineering, Computer Science, Information Systems or related field with 3+ years of relevant experience.
Strong Computer Science/Engineering/Information Systems background
3+ Years Experience in Data Modeling, Data architecture, Data Quality, Metadata, ETL and Data Warehouse methodologies and technologies.
Experience in any combination of the following: SQL, Linux, MicroStrategy, Tableau, Python, APIs, Spark, Scala, Python, Pandas
Experience using EMR Serverless, EC2, Lambda or the ability to read EMR code and translate it into Lambdas.
Must understand the basics of relational data modeling and be able to clearly articulate the reasons to use non-relational systems in our architecture.
Experience in Snowflake is desired but relevant experience in any of the following is acceptable: MySQL, Redshift, Athena, MSSQL Server, Oracle.
Decent understanding for the digital media ad sales business and ad serving technologies with experience working with ad serving transactional data logs or Nielsen demographic data.
Strong problem-solving skills.
Strong oral and written communication and influencing skills, with the ability to communicate new concepts and drive change in processes and behaviors and to communicate complex technical topics to management and non-technical audiences.

Data Engineer, Data Products

Key skills