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Software Engineer - Python

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Onsite

Software Engineer - Python

S&P Global Market Intelligence

Software Engineer - Python

Skills

DynamoDBPythonTesting & QApandasPostgreSQLPostmanAWSJavascript

2 months ago

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Important information


Contract type:

Permanent

Location:

Mumbai, Maharashtra, India

Work mode:

Onsite

Published on:

2 September 2026

What they need


Job Summary

The Role: Software Engineer Python

SP Dow Jones Indices a global leader in providing investable and benchmark indices to the financial markets, is looking for an experienced Python software engineer technology team.

The Team

You will be part of global technology team comprising of Dev, QA and BA teams and will be responsible for analysis, development and testing.

Responsibilities and Impact

You will be working on one of the key systems that is responsible for calculating re-balancing weights and asset selections for SP indices. Ultimately, the output of this team is used to maintain some of the most recognized and important investable assets globally.

  • Implementation of business requirements and system architecture
  • Coding, Documentation, Unit test creation and maintenance, Debugging, level 2/3 escalation support, database schema updates and data transformations.
  • Benchmark testing troubleshoot performance issues.
  • Ensuring code quality by creating and maintaining unit test cases on both Python and JavaScript.
  • Support Production Releases, troubleshoot the production issues.
  • Collaboration with teams across time zones.

Basic Qualifications

  • 4 - 6 years of IT experience in application development, primarily in a back-end API and database development roles with at least some UI development experience.
  • Bachelor's degree in Computer Science, Information Systems, Engineering or, or in lieu, a demonstrated equivalence in work experience.
  • Proficiency in modern Python 3.9+ (minimum 3 years dedicated, recent Python experience)
  • AWS services experience including API Gateway, ECS / containerization technologies, DynamoDB, Postgres
  • Python libraries experience including Pydantic and Pandas.
  • Unit testing skills with PyTest or UnitTest, and API testing using Postman or Bruno
  • Strong Work Ethic and good communication skills.

Additional Preferred Qualifications

  • Analytical minded, detail-oriented, and strong problem-solving skills.
  • A passion for creating high quality code and broad unit test coverage.
  • Prior experience as a QA automation engineer or tier-2/3 support experience is helpful.

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