Data Engineer, Microsoft Fabric

EXL

Microsoft Fabric Data Engineer designing, developing, and maintaining data platforms leveraging Microsoft Fabric. Ideal for candidates with experience in data engineering and analytics roles.

Posted 7/25/2026full-timePune • 🇮🇳 IndiaMid-LevelSeniorWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in designing and maintaining Fabric Lakehouse environments, optimizing Delta Tables, and implementing Medallion Architecture to ensure data quality and governance. Proficient in data transformation using PySpark and Spark SQL, with a strong focus on collaboration with Business Intelligence teams for reporting and analytics.

Highest-signal resume keywords

Fabric LakehouseDelta Tables OptimizationMedallion Architecture ImplementationData Transformation Using PySparkPower BI Integration

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Data EngineeringData ModelingETL/ELT DevelopmentPerformance TuningData GovernanceData Quality FrameworksData WarehousingSQLSpark SQLPySpark

Tools & Technologies

Microsoft FabricOneLakeFabric Data FactoryAzure Data ServicesAzure Data Lake Storage (ADLS)Azure Synapse AnalyticsAzure DevOpsGit Version ControlNotebooksData Pipelines

Certifications & Qualifications

Microsoft Fabric Certification

Industry Keywords

BankingInsuranceHealthcareRetailData MeshModern Data PlatformAI/ML Data Preparation

Tech Stack

Tools & technologies

AzureETLPySparkSparkSQL

About the role

Key responsibilities & impact

Design and maintain Fabric Lakehouse environments.
Develop and optimize Delta Tables for high-performance analytics workloads.
Implement Medallion Architecture (Bronze, Silver, Gold layers) to support data quality and governance requirements.
Create curated datasets for reporting, analytics, and AI/ML use cases.
Develop data transformation logic using PySpark, Spark SQL, and notebooks.
Create reusable frameworks and data engineering best practices.
Perform data cleansing, enrichment, and standardization activities.
Design dimensional and analytical data models.
Collaborate with Business Intelligence teams to support Power BI semantic models and reporting requirements.
Ensure data consistency, quality, and accuracy across data platforms.

Requirements

What you’ll need

Graduate in Computer Science, Data Science, or related field.
4-6 years of experience in data engineering or related field.
Microsoft Fabric
OneLake
Fabric Lakehouse
Fabric Data Factory
Data Pipelines
Notebook Development
PySpark
Spark SQL
SQL
Delta Lake
Medallion Architecture
Power BI Integration
Git Version Control
Azure Data Services
Azure Data Lake Storage (ADLS)
Azure Synapse Analytics (preferred)
Azure DevOps
ETL/ELT Development
Data Modeling
Data Warehousing
Data Governance
Data Quality Frameworks
Performance Tuning
Experience in large-scale enterprise data transformation programs.
Knowledge of Data Mesh and Modern Data Platform concepts.
Exposure to AI/ML data preparation processes.
Microsoft Fabric Certification (Preferred).
Experience working in Banking, Insurance, Healthcare, or Retail domains.

Benefits

Comp & perks

Health insurance
401(k) matching
Flexible working hours
Paid time off
Remote work options