Metrics Engineers love to deep dive into data understand data quality measures discover patterns and insights propose changes to our data ecosystem and build tools for data scientists and data engineers to use. We need candidates who are phenomenal communicators and can advocate for the partner teams who make product decisions based on our metrics.
Masters degree or PhD in a quantitative field (computer science data science mathematics physics chemistry economics or statistics) and 2 years of work experience. Willing to consider a candidate with a Bachelors degree in a quantitative field and 5 years of experience.
2 years industry experience building tools or custom packages in Python
2 years of experience in object-oriented programming in Python. Will consider significant experience in a different object-oriented language (e.g. Java Scala)
2 years SQL experience
Experience using git for version control
Experience in designing analytic solutions to open-ended problems
Experience in building relationships across teams communicating technical content and analytical insights to teams from various disciplines
Prior industry experience with Airflow or other scheduling technologies
Prior industry experience doing engineering system design
Prior industry experience building ETL pipelines for stakeholder consumption
Prior industry experience in full stack web application development
Prior industry experience with Docker and Kubernetes
Prior industry experience with building anomaly detection systems
Prior industry experience with Big Data using technologies like Hadoop Hive and Spark
Prior industry experience with building dashboards and visualizing data in technologies like Tableau Dash Plotly etc.
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