Description

You will build and maintain scalable data infrastructure, including ETL pipelines and data quality frameworks.

This role is on-site.

Responsibilities

• Design and maintain scalable data pipelines and ETL processes.
• Backfill historical market and security master data, coordinating with internal teams and vendors.
• Write data loaders, execute data ingestion, and run data quality checks to resolve issues.
• Implement data quality, consistency, and governance best practices across data sources.
• Manage daily data engineering operations.

Required Skills

• 5+ years of experience with Python scripting.
• Expertise in SQL.
• Proven experience with ETL processes and Data Quality frameworks.
• Experience handling large-scale market and security master data (thousands of tickers, decades of data).
• Strong analytical and problem-solving abilities.
• Familiarity with Bloomberg or Eikon Terminals.

Preferred Skills

• Experience with financial market data structures.

Key Skills

Education

Any Graduate