Senior Technical Lead - Data Engineering (Python Developer)

Birlasoft Limited; Bengaluru; On-site; INR 1,500,000 - 2,000,000; Full time

Job summary

Birlasoft Limited in Bengaluru is seeking a Sr Technical Lead-Data Engg to build production-grade Python modules for Excel ingestion, template parsing and data consolidation. You will develop backend services, Azure Function pipelines and APIs to move data from Excel uploads into databases for reporting.

You will collaborate with data scientists to operationalize ML models and ensure robust, tested code with strong CI/CD practices, contributing to production support and continuous improvement.

Qualifications

• 4+ years hands-on with Python 3.10+, pandas, NumPy.
• Excel handling with openpyxl, pandas, xlrd/xlwings.
• Building REST APIs using FastAPI or Flask.
• Version Control & DevOps: Git, CI/CD pipelines (Azure DevOps or GitHub Actions).
• Testing with pytest, unit testing and integration tests.
• Agile: Scrum, story estimation, JIRA/Azure Boards usage.

Responsibilities

• Build production-grade Python modules for Excel ingestion and data transformation.
• Develop backend services, APIs, and Azure Function-based pipelines for data movement.
• Implement business rules, audit trails, and version control per design.
• Write clean, well-documented code with high unit test coverage; participate in peer reviews.
• Collaborate with Data Scientist to operationalize ML models and APIs.
• Troubleshoot production issues and support go-live hypercare.
• Improve pipeline resilience and performance continuously.

Skills

Python

Excel Handling

REST APIs

Git & CI/CD

Testing (pytest)

Agile/Scrum

Tools

openpyxl

pandas

xlrd/xlwings

FastAPI

Azure DevOps

GitHub Actions

pytest

Job description

Sr Technical Lead-Data Engg 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 (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 / Good‑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.

Experience Level

Senior Level