Must-have
• 4–7 years of hands-on software engineering with Python (incl. packaging, virtual envs, unit/integration testing); robust use of libraries such as pandas, SQLAlchemy/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 orchestration; familiarity with secrets management and environment configuration.
• Domain understanding of post-trade data flows and how to encode them into repeatable regression checks.
Good to have
• Cloud exposure (Azure/AWS), containers/Kubernetes, infrastructure as code (Bicep/Terraform), and DevSecOps gates (Sonar/Mend/ZAP).
Experience with capital-markets platforms (e.g., ION blotter integrations) and messaging/API patterns in trading data stacks.