Trumid

The Senior Data Engineer will design and implement scalable data models in BigQuery using dbt to power analytics, reporting, and operational insights, while also developing systems for delivering data to internal stakeholders and external clients. Key duties include maintaining data governance practices such as documentation, lineage, testing, and data quality standards, and optimizing query performance in BigQuery.

The role involves leading the architecture and development of streaming data pipelines that deliver market and operational data to pricing algorithms with sub-second latency, relying on technologies like Kafka and Flink. Responsibilities also include ensuring production SLAs are met and collaborating with researchers and data scientists to provide reliable data inputs for modeling.

Lead the architecture and development of streaming data pipelines that deliver market and operational data to pricing algorithms with sub-second latency, defining architectural standards for reliability and observability. Ensure production SLAs are met for critical systems and collaborate with researchers and data scientists to deliver reliable data inputs for modeling and backtesting.

The role involves building and optimizing high-performance frontend applications and collaborating with teams to enhance user interfaces. It also includes debugging and improving code quality while considering system-wide performance.