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Python + OOPS Developer

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Wissen

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Location:
India , Bangalore South

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Category:
IT - Software Development

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Contract Type:
Not provided

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Salary:

Not provided
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Job Description:

We are seeking an experienced Python + OOPS Developer capable of designing, engineering, and delivering scalable enterprise solutions within the banking and financial domain. The ideal candidate will be a hands-on developer with strong expertise in Python, object‑oriented design, data processing, and distributed computing. This role involves end‑to‑end development, performance optimization, workflow orchestration, and collaboration across business and technology teams.

Job Responsibility:

  • Design and implement modular, reusable Python components for index construction, rebalancing, and backtesting
  • Run large‑scale historical simulations using Pandas, NumPy, and PySpark
  • Integrate compute engines with Airflow/Temporal using configuration-driven workflows
  • Query and consume reference data (pricing, security master, corporate actions) from Snowflake
  • Build automated test harnesses to validate outputs and ensure reproducibility
  • Optimize performance using vectorization, caching, and distributed computing patterns
  • Ensure data and calculation reconciliation against benchmarks
  • Collaborate with Business, Index Operations, and Platform teams to move research into production
  • Follow best practices in code quality, architecture, testing, and deployment
  • Contribute to design discussions and technical decision-making

Requirements:

  • Strong proficiency in OOP, clean architecture, maintainable application design
  • Deep experience in numerical computing and time-series analysis
  • Working knowledge for distributed data processing
  • Understanding of portfolio mathematics, weighting algorithms, and time-series transformations
  • Experience building rules-based or metadata-driven frameworks
  • Strong SQL skills and ability to consume structured data from Snowflake
  • Expertise in unit testing, regression testing, deterministic replay
  • Familiarity with Airflow, Temporal, or similar orchestration frameworks
  • Good understanding of S3, Lambda, IAM, and integration with Snowflake Data Cloud

Nice to have:

  • Experience with Docker, containerization, or Kubernetes
  • Knowledge of CI/CD pipelines for Python applications
  • Familiarity with event-driven architectures (Kafka, EventBridge)
  • Experience working in BFSI / financial index domain
  • Understanding of compute optimization using multiprocessing or Ray
  • Exposure to data governance, lineage, and metadata management tools

Additional Information:

Job Posted:
March 20, 2026

Employment Type:
Fulltime
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