Job
Core
Build scalable, reliable data pipelines to ingest, transform, and operationalize data for analytics and operational workflows within the Intelligence Fabric for Capital Markets.
Role type
Data Engineer
Builds
Scalable ETL/ELT pipelines, trusted datasets, and operational data models
Domain
Capital Markets / Data Engineering
Deliverable
production ML models | product features | dashboards & analysis
Required skills
Python, PySpark, SQL, data modeling, data ingestion, data quality, observability, lineage, governance
Preferred skills
Palantir Foundry, Spark optimization, Databricks, streaming frameworks, orchestration tools
Technologies
Python, PySpark, SQL, Palantir Foundry, Databricks
Responsibilities
Ingest and onboard datasets from internal systems, APIs, databases, files, and external providers; Build and operate scalable ETL/ELT pipelines; Model and operationalize data to support analytics and operational applications; Ensure data trust through testing, quality checks, and governance; Collaborate with analysts to translate business requirements into data solutions
Seniority
Mid-level, hands-on IC
