Analyst, Quality Assurance Engineer
Core
Design, implement, and optimize data pipelines, ETL processes, and data storage solutions to solve sophisticated business problems in financial markets.
Role type
Data Engineer (Financial Markets)
Builds
Data infrastructure and pipelines for Index Investments, Markets, Liquidity & Financing, and Platform & Strategy teams.
Domain
Financial Services / Data Engineering
Deliverable
production ML models | product features | dashboards & analysis
Required skills
Python, SQL, Data Engineering, Database Management (Snowflake, PostgreSQL, Greenplum), Problem Solving
Preferred skills
ETL/ELT tools (DBT, Pentaho, Informatica), Linux, Bash scripting, Agile development, DevOps (Azure DevOps)
Technologies
Snowflake, PostgreSQL, Greenplum, DBT, Pentaho, Informatica, Azure DevOps, Linux
Responsibilities
Design and implement data pipelines and ETL processes; Optimize SQL queries and build Python utilities for data processing; Collaborate with Data Science, Product, and Analytics teams; Establish and maintain standard methodologies for data engineering focusing on quality, security, and scalability.
Seniority
Junior to Mid-level, hands-on IC