About MethodTech
MethodTech is building an institutional-grade investment technology platform for asset managers, portfolio managers, wealth managers, and other investment institutions.
Our platform brings together large-scale financial data, portfolio analytics, risk modelling, strategy research, portfolio construction, and investment workflows. Data infrastructure sits at the core of the platform, processing large volumes of market, fundamental, portfolio, and alternative financial datasets.
We are looking for a Data Engineer to help build and scale this infrastructure.

The Role
You will work closely with our engineering and quantitative research teams to build reliable data pipelines and infrastructure supporting financial datasets and analytics.
This is a hands-on engineering role with significant ownership. You will work on systems that ingest, clean, transform, validate, and serve large datasets used directly by our research and production applications.

Responsibilities
• Design, build, and maintain robust ETL/ELT pipelines for large financial datasets.




• Develop high-performance data processing workflows using Python and Pandas.
• Build and optimize pipelines using distributed computing frameworks where required.
• Integrate data from APIs, databases, files, and external data vendors.
• Design processes for data validation, reconciliation, monitoring, and error handling.
• Improve the performance, scalability, and reliability of existing data infrastructure.
• Build reusable data libraries and services consumed by research and application teams.
• Work with large historical and time-series datasets.
• Diagnose production data issues and improve observability of data pipelines.
• Collaborate directly with quantitative researchers and software engineers to translate data requirements into production systems.

Minimum Requirements
• Robust programming skills in Python.
• Solid working knowledge of Pandas and numerical/data-processing workflows.
• Experience d

📌 Data Engineer Mumbai
🏢 MethodTech
📍 Mumbai