Python Developer_Data Test Engineer/ Back office

Job highlights

• Youll translate complex,post-trade data flows into robustdata models,stored procedures,and regression automation,and ownCI / CDincluding scripts to run AutoSys / batch jobs and stored procs acrossenvironments
• Comfort . with . schedulers . (AutoSys / Control-M / Airflow) . and . shell / Python . scripting . for . batch . or chestration
• Experience Level

Job Title: Python Developer _Data Test Engineer/Backoffice (Associate/Sr Associate/ Delivery Lead/ Manager)

• Location: Gurgaon/Bangalore/Pune
• Work hours: 10am to 7pm IST
• Department: Data Technology Services
• Experience Level : 4-10 years

Job Purpose

Were hiring a hands-on engineer to design and build a reusable Pythonframeworks that spans front-end integrations, backend/middle-tier services, andcloud execution. Youll translate complex, post-trade data flows into robustdata models, stored procedures, and regression automation, and ownCI/CDincluding scripts to run AutoSys/batch jobs and stored procs acrossenvironments. The ideal candidate brings pragmatic engineering discipline,capital-markets data intuition, and a builders mindset.

Key Responsibilities

• Collaborate with BAs, QEs, and traders/ops to clarify requirements and codesign testable acceptance criteria; maintain living technicaldocumentation and run-books.
• Champion reusability: templates, golden pipelines, sample datasets, and coding standards that scale across engagements

Key Competencies

• 410 years of hands-on softwareengineering with Python (incl. packaging, virtual envs, unit/integrationtesting); strong use of libraries such as pandas, SQL Alchemy/ pyodbc, andasyncio /celery for pipelines and services
• Expert SQL skills and stored-proc development (SQL Server/Oracle/Postgres), query tuning, and execution-plan analysis for largedatasets.
• Proven experience designing CI/CD pipelines and automating promotion (code + data + DB objects) with Azure DevOps/Jenkins/GitLab; strongGit practices and code-review hygiene.
• Comfort with schedulers (AutoSys/Control-M/Airflow) and shell/Python scripting for batch or chestration; familiarity with secretsmanagement and environment configuration.
• Domain understanding of post-trade data flows and how to encode the m into repeatable regression checks.

Disclaimer: This job posting has been aggregated from external source. Role details, content, and availability are subject to change. Applicants are advised to confirm the latest information directly on the company website before applying.