Senior Data Engineer – Capital Markets
Core
Design, develop, and maintain scalable enterprise data warehouse, data lake, and cloud-based data engineering solutions for financial services clients.
Role type
Senior Data Engineer (Cloud & Data Warehousing)
Builds
Enterprise data warehouses, data lakes, ETL/ELT pipelines, and cloud data platform solutions
Domain
Financial Services / Cloud Data Engineering
Deliverable
production ML models | product features | dashboards & analysis
Required skills
SQL programming, Snowflake development, Databricks and Spark, Python, data modeling (dimensional/facts), cloud data architecture, data lineage documentation, performance tuning
Preferred skills
Finance/banking domain knowledge, enterprise cloud platform migration experience, data engineering certifications
Technologies
Snowflake, Databricks, Spark, Python, GitHub Copilot
Responsibilities
Design and maintain scalable data warehouse and data lake solutions; Develop robust ETL/ELT pipelines; Write and optimize complex SQL queries and stored procedures; Create data mappings and transformation rules; Translate business requirements into data engineering designs; Partner with analysts and architects to deliver data solutions; Support testing, validation, and production support for data pipelines
Seniority
Senior, hands-on IC
