Responsibilities: * Design and implement data infrastructure. * Develop and maintain performant ETL pipelines for complex and large data sets from a variety of sources. * Enable and accelerate development speed and machine learning performance by ensuring that complex and large data sets are clean and readily accessible in the formats required. * Enable customer-facing real-time data analytics by optimizing database design and query performance. * Develop or implement an internal dashboard with descriptive statistics about the data we have and the performance of our databases. * Automate workflows and data pipelines using replicable and extensible code with good version control practices and testing.
  Minimum Qualifications and Education Requirements: * BSc/BEng degree in computer science, mathematics, machine learning or equivalent (MSc/MEng preferable) * Experiencing designing and administering a terabyte-scale Postgres database * Experience implementing a variety of ETL techniques and frameworks * Experience with distributed computing for data processing (Hadoop, Spark) * Experience with unstructured data sources * Experience with XML (especially proficiency with xpath)   Preferred Qualifications: * Knowledge of machine learning and/or statistics * Experience with Google Cloud Platform * Passion for AI and excitement about new developments * Contributions to open source projects * Experience with Golang