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Python Developer

Technology
RapidBrains
Bengaluru, India3 days agoUntil 23/12/2026
Full time

Job description

Job Description

We’re hiring a Python Developer (DTE) to design and build a reusable Python frameworks that spans front-end integrations, backend/middle-tier services, and cloud execution for one of our client, a leading global financial technology and services company providing investment research, analytics, data management, and technology solutions to the financial services industry. 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.

Experience: 4+ years

Location : Bengaluru/ Pune/ Gurgaon

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 datasets, and coding standards that scale across engagements.

Key Competencies

Must-have:

  • 4–7 years of hands-on 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 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.
Keywords
GitLabOrchestrationCodingSQLAlchemyOracle DatabaseDevOpsAirflowPostgresqlPythonSqlCI/CDCoding conventionsReusabilityData management

Interested in this role?