Senior Data Engineer – Microsoft Fabric

Expleo Group

Senior Data Engineer designing and developing scalable data pipelines and ETL workflows using Microsoft Fabric. Collaborating with teams to ensure financial data accuracy and compliance.

Posted 5/17/2026full-timeChennai • 🇮🇳 IndiaSeniorWebsite

Tech Stack

Tools & technologies

ETLNumpyPandasPySparkPythonSQL

About the role

Key responsibilities & impact

Design and develop scalable data ingestion pipelines for PDFs, Excel files, CSVs, and other structured/unstructured financial documents.
Build normalization and transformation workflows to standardize messy financial and billing data.
Develop reconciliation and validation engines to compare invoices against contract terms, pricing schedules, SLAs, and billing rules.
Implement ETL/ELT pipelines using Microsoft Fabric components including Data Factory, Lakehouse, Notebooks, and Pipelines.
Build data quality checks, exception handling frameworks, and audit mechanisms for financial accuracy.
Create reusable Python-based processing modules for document parsing, data extraction, validation, and reconciliation.
Work with OCR/document extraction tools and integrate outputs into downstream validation systems.
Optimize data processing performance for high-volume financial records.
Collaborate with product, business, and engineering teams to understand reconciliation rules and billing logic.
Ensure security, governance, and compliance standards are followed for financial data handling.
Support deployment, monitoring, troubleshooting, and continuous improvement of data workflows.

Requirements

What you’ll need

7+ years of experience in Data Engineering and backend data processing systems.
Minimum 1–2 years of hands-on experience with Microsoft Fabric.
Strong proficiency in Python and data processing libraries such as: Pandas, PySpark, NumPy, OpenPyXL, PDF processing libraries (PyPDF2, pdfplumber, Camelot, Tabula, etc.)
Experience building ETL/ELT pipelines and data transformation workflows.
Strong experience with Microsoft Fabric services: Fabric, Data Factory, Lakehouse, Notebooks, Pipelines, OneLake
Experience handling semi-structured and unstructured data sources.
Strong SQL skills and data modeling knowledge.
Experience implementing business rules, reconciliation logic, and data validation frameworks.
Familiarity with REST APIs and external system integrations.

Benefits

Comp & perks

Health insurance
401(k) matching
Flexible work arrangements
Professional development opportunities

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills & Tools

data ingestiondata normalizationdata transformationETLELTPythonSQLdata modelingdata validationdata processing

Soft Skills

collaborationcommunicationtroubleshootingcontinuous improvement