Back

Protocol Intelligence

Data-driven signals on your job's competitiveness

CV Match Score

Estimated fit based on your resume

Structured overview of role & requirements

Direct Career PageEst. 12–20 LPA

Against your primary resume

Create a free account or log in to unlock your CV match score across:

Role Fit

Experience

Industry Relevance

get started

Data-driven signals on your job's competitiveness

Competition Intensity

(Moderate)

Background Fit Sensitivity

(Low)

Shortlisting Strictness

(Moderate)

Structured overview of role & requirements

Build and maintain data pipelines and tools for Private Equity & Venture Capital research platform using Python and AWS.

Deliver high-quality, reusable, and maintainable code with unit/integration testing and ensure high stability and performance of the product.

Collaborate in agile environment, perform code reviews, and take ownership of end-to-end product delivery and performance improvements.

Bachelor's or master's degree in computer science.

2+ years overall industry experience, including 1-2 years of Python development.

Proficiency in Python, Pandas, NumPy, and experience with AWS technologies (Kinesis, Glue, Redshift, EC2, S3, Fargate, Lambda, EMR).

Experience with relational databases (Postgres, MSSQL) and GitHub-based development.

Experienced in building and deploying production-level services with strong analytical and problem-solving skills.

Comfortable working with automated metrics for performance monitoring and knowledge sharing in an agile Scrum environment.

Familiar with Linux/Unix environment, Agile development practices, and infrastructure as code (Terraform) is a plus.