Drive the evolution of Data & Services products/platforms with an impact-focused on data engineering.

Design and implement scalable data architecture and data pipelines.

Solving complex problems with multi-layered data sets, as well as optimizing existing machine learning libraries and frameworks.

Provide support for deployed data applications and analytical models by being a trusted advisor to Data Scientists and other data consumers by identifying data problems and guiding issue resolution with partner Data Engineers and source data providers.

Ensure proper data governance policies are followed by implementing or validating Data Lineage, Quality checks, classification, etc.

Discover, ingest, and incorporate new sources of real-time, streaming, batch, and API-based data into our platform to enhance the insights we get from running tests and expand the way...