Job
Core
Design and implement data infrastructure, ETL processes, and analytics systems to optimize statistical efficiency and quality for the online trading industry.
Role type
Senior Data Engineer
Builds
Databases, data collection systems, ETL pipelines, feature stores, and A/B testing platforms
Domain
Finance / Online Trading / Data Engineering
Deliverable
production ML models | infrastructure
Required skills
Python, SQL, database design, data modeling, data mining, ETL development, data quality management, infrastructure planning
Preferred skills
Databricks, Apache Spark, Prefect, MLFlow, ML/DL deployment
Technologies
Python, SQL, Databricks, Apache Spark, Prefect, MLFlow
Responsibilities
Interpret and analyze data problems; Conceive and plan data projects aligned with organizational goals; Develop and implement databases and data collection systems; Acquire and maintain data from primary or secondary sources; Identify and interpret trends in complex data sets; Ensure data quality and integrity; Develop ETL processes; Develop data science infrastructure including experiments tracking and feature stores
Seniority
Senior, hands-on IC
