Senior Manager, Data Engineering

Overview

Senior Manager, Data Engineering leading a team of data engineers to build scalable data pipelines and curated datasets for financial data products.

What you'll do

• Lead and mentor data engineers, setting technical direction and delivery standards.
• Design and build pipelines to onboard, extract, load, transform, and enrich data sources.
• Curate datasets using financial-domain knowledge for faster product development.
• Partner with product teams to analyze, validate, and transform datasets into finished products.
• Collaborate with AI & Automation on AI-powered workflow tools that scale delivery.
• Implement data quality checks and monitoring for completeness, accuracy, timeliness, and reliability.

What you'll need

• 10+ years of programming experience in Python, Spark, SQL, Java, and/or Unix shell scripting.
• At least 2+ years of experience leading a high-performing team.
• Strong foundation in exploratory data analysis, data onboarding, and data pipelines.
• Proven knowledge of financial markets data analysis (e.g., stock prices and volumes).
• Cloud and systems experience in AWS (S3/EC2), Databricks, and Linux.
• Solid understanding of Git or other version control software.
• Bachelor’s degree in Computer Science, Computer Engineering, or a related discipline.

Details

• Location: Bangalore, Karnataka, India.
• Work mode: Hybrid-first environment.