Senior Specialist, Data Engineering
Core
Design and build scalable data pipelines and curated datasets to power new financial data products, ensuring completeness, accuracy, and timeliness from onboarding through production.
Role type
Senior Specialist, Data Engineering
Builds
Scalable data pipelines and curated datasets for financial data products
Domain
Financial markets / Capital markets / Alternative data
Deliverable
production ML models | product features
Required skills
Python, Spark, SQL, Java, Unix shell scripting, AWS (S3/EC2), Databricks, Linux, Git, exploratory data analysis, data onboarding, data pipeline architecture
Preferred skills
Financial data product development, Alternative Data sources (satellite imagery, consumer transactions, GPS transponders)
Technologies
Python, Spark, SQL, Java, Unix shell, AWS, Databricks, Linux, Git
Responsibilities
Design and build data pipelines to onboard, extract, load, transform, and enrich new data sources; Apply domain knowledge of financial data to curate datasets; Partner with Product Management to analyze, validate, and transform datasets into finished products; Collaborate with AI & Automation to adopt AI-powered workflow tools; Implement robust data quality checks and supervision
Seniority
Senior, hands-on IC
