Data Engineer

Overview

Own the sourcing, storage, validation, and analysis of data used by trading, research, and technology teams. Build reliable data infrastructure and identify data issues before they affect downstream users.

What you'll do

• Build and maintain scalable pipelines for ingesting data from external sources.
• Design automated data quality checks to detect issues early.
• Clean data and resolve missing values and inconsistencies.
• Perform statistical analysis to identify anomalies, trends, and irregularities.
• Maintain databases, backups, storage, and overall data health.
• Coordinate with internal teams and external providers to resolve data issues.

What you'll need

• 1–3 years of experience are welcome.
• Strong programming skills in Python.
• Good understanding of SQL and databases.
• Familiarity with APIs and different data formats.
• Foundation in statistics and data analysis.
• Strong attention to detail and ownership of data accuracy and availability.

Nice to have

• Experience with workflow scheduling or orchestration tools.
• Exposure to financial or market data.
• Familiarity with Linux and shell scripting.

Details

• Location: Gurugram, Haryana, India.