The ideal candidate must show proficiency in building cost effective high performing systems in the AWS stack using Python and Pandas.
The Data Engineer will also be expected to learn new and emerging technologies in order to adapt to a dynamic technological landscape.
JOB RESPONSIBILITIES
Building out data pipelines using AWS infrastructure (lambdas, batch, steps, etc)
Defining standardized tracking requirements for development teams based on requirements from different departments such as marketing, product, BI, research.
Creating and supporting validation pipelines for continuous monitoring of the quality of data
Helping pinpoint and fix issues in data quality
Support data input and output configurations via CDP (mParticle)
Guide different product development teams on experimentation initiatives
Enhance AMCN’s data culture by increasing the knowledge base via documentation and training for different departments
QUALIFICATIONS (Required & Preferred)
Strong combined experience (3-5+ years) in working with python and libraries (pandas, scikit-learn, numpy) for analytics and/or data pipelines
1+ year experience in working with AWS or similar Cloud solutions.
GIT experience
Ability to document technical solutions and define development tasks accurately
Familiarity with various third party analytics tools (such as mParticle, Braze, Amplitude) a plus