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Position: Lead Data Engineer
Scope and Responsibilities:
Beyond adherence to best practices, the lead’s responsibilities will be to help push forward the team’s thinking; the best candidate will have a pragmatic understanding of what can be done today given skill and resource limitations, balanced against a clear understanding and ability to demonstrate what can be done through selective application of advanced analytical models. Some experience developing and scaling applied statistical / ML models (ideally through Keras and Tensorflow/MXNet) is a key skill. Similarly, you will ideally provide guidance in the operations space, as well – we primarily work with AWS and the best candidates will have hands-on experience with the platform.
Requirements for the Position include:
Bachelor’s Degree in a software-related field
3-5 years’ experience developing in a large enterprise environment
4+ years SQL development
4+ years Python development
2+ years ETL development (Informatica, Matillion, SSIS, etc is acceptable, but non-graphical/code-centric experience is preferred)
Hands-on experience developing and scaling applied statistics / machine learning models is strongly preferred
CI/CD and integrated testing experience is highly desirable.
Apache Airflow experience is a bonus
Agile methodology experience is a bonus
Are you available? Please send your most current resume to Phillip at firstname.lastname@example.org
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