About the role

Position Profile: Python/Data Engineer – Financial Systems (Python, APIs, AWS)

We are building a robust internal investment analytics and data platform that powers research, portfolio construction, risk management, and long-term decision-making at Itus Capital. The system integrates 20+ years of financial, sectoral, and macroeconomic data and is designed to support both quantitative analysis and intuitive, analyst-driven exploration.

This role focuses on building and owning the data and integration layer — connecting external data sources (including Excel-based workflows and APIs) into a scalable AWS-backed data infrastructure, and enabling reliable, low-latency access for analytics, models, and internal tools. This is a hands-on engineering role with deep exposure to financial data and close collaboration with the founding team.

Company

Itus Capital Advisors is an India-based asset management firm managing PMS and AIF strategies with a long-term, all-weather investment philosophy. Our approach blends fundamental research, data-driven analysis, and disciplined risk management. (Learn more about us)

Role : Python/Data Engineer – Financial Systems (Python, APIs, AWS)

Reporting to : The Founding Team

Location:Chennai

Skillsets:

Technical

Strong proficiency in Python for production-grade data pipelines and backend systems
Experience building and maintaining APIs (FastAPI or similar)
Solid understanding of relational databases (PostgreSQL / MySQL) and data modeling
Experience with AWS services (RDS, S3, Lambda, IAM; Redshift is a plus)
Ability to design connector layers from Excel and other flat-file workflows into databases
Familiarity with scheduling, monitoring, logging, and error-handling in data systems

Data & Systems Thinking

Comfortable working with time-series and cross-sectional datasets
Strong attention to data integrity, validation, and performance
Ability to structure data for downstream analytics and modeling

Finance & Numeracy

Good intuition for financial data (prices, returns, fundamentals, ratios, flows)
Ability to sanity-check numbers and identify inconsistencies
Prior exposure to capital markets, asset management, or financial research is strongly preferred

Relevant work experience

4–8 years of hands-on experience in data engineering, backend engineering, or similar roles
Demonstrated experience in:
- Designing and maintaining data pipelines and databases
- Building API-driven systems that interface with analytical tools
- Working with large, evolving datasets in production environments
- Supporting analytics, research, or decision-making systems
Experience in financial services, fintech, research platforms, or data-intensive environments is highly valued.

Background industry preference

Asset Management / Capital Markets
FinTech / Financial Data Platforms
Research, Analytics, or Data Infrastructure Teams
Technology-first firms working with complex datasets

Responsibilities

Design, build, and maintain a unified financial data warehouse covering 20+ years of data
Develop reliable data pipelines to ingest market prices, fundamentals, macro data, and holdings
Build and maintain APIs that allow tools (including Excel-based workflows) to push and pull data in real time
Implement data validation, versioning, and auditability across datasets
Optimize database performance and data access patterns for analytics and modeling
Collaborate closely with investment and research teams to translate analytical needs into data structures
Ensure high standards of reliability, security, and maintainability in all systems