Python Developer

Job Description

We are hiring multiple SeniorPython Developers for our Data and Technology Services Team at Bengaluru, Gurgaon and Pune (hybrid: 2-3 days WFO).

Immediate Joiners are highly preferred! (0-30 days)

What you'll do:

• Python engineering & reusable frameworks

• Build modular Python packages (data processing, API clients, orchestration adapters), publishable to internal artifact repositories; enforce code quality, testing, and documentation standards.
• Develop backend services/APIs (e.g., FastAPI/Flask) and CLI tools to support frontend, middletier, and cloud workflows; implement resilient error handling, observability hooks, and secure secrets usage.

2) Data modeling, SQL & stored procedures

• Design relational schemas and write/optimize complex SQL (windowing, CTEs, partitioning); author and refactor stored procedures (SQL Server/Oracle/Postgres) with attention to edge cases and performance.
• Build datavalidation utilities that compare large datasets across environments and produce diffs for regression packs.

3) Posttrade domain, test automation & regression

• Map posttrade flows (allocations, clearing/settlement, confirmations, reconciliations) into datasets, rules, and assertions for repeatable regression.
• Read and translate storedproc logic into automated test scripts; build a central repository of reusable checks integrated into CI/CD.
• Nice to have: familiarity with trade/blotter platforms (e.g., ION) or similar posttrade systems.

4) CI/CD, DevOps & environment promotion

• Design and operate multistage CI/CD pipelines (Azure DevOps/Jenkins/GitLab) for code, data artifacts, and SQL deployables; implement approvals, rollbacks, environment strategy, and quality gates (lint, SAST/DAST, tests).
• Containerize services where appropriate; integrate with AKS/Kubernetes or serverless jobs, and wire up metrics/alerts for runtime health.

5) Scheduling, batch & operationalization

• Script the execution of AutoSys/batch jobs and stored procedures across dev/UAT/prod; add runbooks, logging, and guardrails; enable reliable, auditable promotions through environments.

What you'll bring:

• 4 years of handson software engineering with Python (incl. packaging, virtual envs, unit/integration testing); strong use of libraries such as pandas, SQLAlchemy/pyodbc, and asyncio/celery for pipelines and services.
• Expert SQL skills and storedproc development (SQL Server/Oracle/Postgres), query tuning, and executionplan analysis for large datasets.
• Proven experience designing CI/CD pipelines and automating promotion (code data DB objects) with Azure DevOps/Jenkins/GitLab; strong Git practices and codereview hygiene.
• Comfort with schedulers (AutoSys/ControlM/Airflow) and shell/Python scripting for batch orchestration; familiarity with secrets management and environment configuration.
• Domain understanding of posttrade data flows and how to encode them into repeatable regression checks.

How you'll work:

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

Interested candidates, please share your updated CVs at [Confidential Information]