Area(s) of responsibility

1. Senior Application Developer — Python Developer Grade

Reports To

Senior Technical Lead (Python)

Program

FP&A; Reporting Automation & AI Forecasting

Experience: 4–6 years · Location: [To be filled] · Engagement: Full-time

Role Expectations

- Build production-grade Python modules for Excel ingestion, template parsing, data transformation, validation, and consolidation of Data sets.

- Develop backend services, APIs, and Azure Function-based pipelines to move data from Excel uploads (SharePoint/ADLS) into Database for downstream reporting.

- Implement business rules, exception reporting logic, version control, and audit trails as per the technical design authored by the Technical Lead.

- Write clean, testable, well-documented code with high unit test coverage; participate actively in peer code reviews.

- Collaborate with the Data Scientist to operationalize ML models — building inference APIs, batch scoring jobs, and result-persistence layers.

- Troubleshoot production issues, contribute to hypercare during go-live, and continuously improve pipeline resilience and performance. Must-Have Skills

- Python (Strong):



4+ years hands-on with Python 3.10+, pandas, NumPy, and standard library; comfortable with OOP and modular design.

- Excel Handling: Solid experience with openpyxl, pandas, xlrd/xlwings, and handling complex Excel structures (merged cells, formulas, pivot tables, named ranges).

- APIs: Building Streamlit Applications and experience in consuming REST APIs using FastAPI or Flask

- Version Control & DevOps: Git, branching strategies, pull requests, participation in CI/CD pipelines (Azure DevOps or GitHub Actions).

- Testing: pytest, unit testing, and integration test practices.

- Agile: Comfortable working in Scrum sprints, story estimation, JIRA/Azure Boards usage.

Preferred / Valuable-to-Have Skills

- Familiarity with Finance/FP&A; concepts (P&L;, forecasting, budgets) and Excel-heavy finance workflows.
- Exposure to Streamlit / Plotly Dash for internal utility dashboards or admin UIs.
- Basic understanding of ML model integration — calling scikit-learn models from Python services.

📌 Technical Specialist-Data Engg (Pune)
🏢 Birlasoft
📍 Pune