Country/Region: IN

Requisition ID: 39436

Work Model:

Position Type:

Salary Range:

Location: INDIA - PUNE - BIRLASOFT OFFICE - HINJAWADI

Title: Technical Specialist-Data Engg

Description:

Area(s) of responsibility
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 (Robust): 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 / Positive-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 Maharashtra
🏢 Birlasoft
📍 Maharashtra