Python Developer_Data Test Engineer/ Back office(Empowering Talent: Job Opportunities for Persons with Disabilities)

We’re hiring a hands-on engineer to design and build a reusable Python frameworks that spans front-end integrations, backend/middle-tier services, and cloud execution. You’ll translate complex, post-trade data flows into robust data models, stored procedures, and regression automation, and own CI/CD—including scripts to run AutoSys/batch jobs and stored procs across environments. The ideal candidate brings pragmatic engineering discipline, capital-markets data intuition, and a builder’s mindset.

Key Responsibilities

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

Key Competencies

• 4–10 years of hands-on software engineering with Python (incl. packaging, virtual envs, unit/integration testing); strong use of libraries such as pandas, SQL Alchemy/ pyodbc, and asyncio /celery for pipelines and services
• Expert SQL skills and stored-proc development (SQL Server/Oracle/Postgres), query tuning, and execution-plan 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 code-review hygiene.
• Comfort with schedulers (AutoSys/Control-M/Airflow) and shell/Python scripting for batch or chestration; familiarity with secrets management and environment configuration.
• Domain understanding of post-trade data flows and how to encode the m into repeatable regression checks.