Sr Technical Lead-Data Engg
BirlaSoft · Bengaluru · onsite · Posted 26d ago
Undisclosed4–6 yrsfulltimeSourced from
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About this role
Area(s) of responsibility
- Senior Application Developer - Python Developer Grade
Reports To
Senior Technical Lead (Python)
Program
FPA 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/FPA concepts (PL, 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.
Disclaimer: This job posting has been aggregated from external source. Role details, content, and availability are subject to change. Applicants are advised to confirm the latest information directly on the company website before applying.
Sourced from naukri
Skills
AutomationDevopsGithubAzure DevopsAgileCI/CD Pipelinesapplication developerapisdata transformationDownstreamdata scientistDashGithub ActionsML modelsADLSFlask FrameworkFPAJira AtlassianNumpyMicrosoft AzurefinanceGITArtificial IntelligenceMachine LearningForecasting
About Birlasoft
BirlaSoft
IT Services & Consulting
10.9k+
employees
1995
31 years old
Pune, Maharashtra
India
About
Birlasoft combines the power of a domain, enterprise, and digital technologies to reimagine business potential. Surpassing expectations, breaking convention!
Industries
IT Services & Consulting
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Culture
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Work-life
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