Data Engineer, DMP

Live and breathe Big Data: Work extensively with analytics systems such as BigQuery, Google Cloud Dataflow, Apache Spark, and Apache Airflow.

Manage Infrastructure: Utilize hybrid cloud-based infrastructure (GCP knowledge is a plus) to collect and process massive volumes of data.

Build Data Pipelines: Create robust data processing pipelines to generate audience segments and integrate them with various DMP and DSP systems (ad-tech knowledge is a big plus!).

Visualize Insights: Brainstorm and create powerful visualizations that make data accessible and understandable.

Architect Systems: Evaluate database solutions and help define the architecture and design of data delivery systems.

Drive Best Practices: Contribute to development best practices, experiment with new ideas, and collaborate across teams to take key products from concept to production.

Bachelor’s or Master’s degree in Computer Science, Software Engineering, or a related quantitative field (preferably focused on data mining or machine learning).

Strong knowledge of SQL, MapReduce, and other Big Data languages and processing frameworks. 

Proven experience designing and coding data pipelines in Python.

Solid understanding of statistical and predictive modeling, machine learning approaches, and data pattern identification.

Accomplished in the use of data analysis and machine learning packages such as pandas, Jupyter, and TensorFlow.

Big plus: Prior knowledge of the advertising domain and its technology stack.

Have a genuine passion for keeping up with the rapid evolution of the data world.

Are a creative, innovative, and visionary thinker who wants to leave a lasting impact on the business.

Possess an entrepreneurial mindset, taking the initiative to execute great ideas with minimal resources.

Are an excellent communicator, both within cross-functional teams and when facing clients.

Thrive under pressure and comfortably hit tight deadlines.