EXL

Microsoft Fabric Data Engineer

EXL  •  Pune, IN (Onsite)  •  2 hours ago
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Job Description

Lakehouse Development

  • 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.

Data Transformation & Processing

  • 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.
  • Data Modeling & Analytics Support
  • 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.

Key Responsibilities

Data Engineering & Integration

  • Design, develop, and maintain scalable data ingestion and transformation pipelines using Microsoft Fabric.
  • Build and manage ETL/ELT workflows using Fabric Data Factory and Data Pipelines.
  • Integrate data from multiple sources including databases, APIs, flat files, cloud storage, and SaaS applications.
  • Implement incremental data loads and Change Data Capture (CDC) strategies.

Graduate in Computer Science, Data Science, or related field. 4-6 years of experience in data engineering or related field.

Required Skills

Technical Skills

  • 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

Cloud & Data Platform Experience

  • Azure Data Services
  • Azure Data Lake Storage (ADLS)
  • Azure Synapse Analytics (preferred)
  • Azure DevOps

Data Engineering Concepts

  • ETL/ELT Development
  • Data Modeling
  • Data Warehousing
  • Data Governance
  • Data Quality Frameworks
  • Performance Tuning

Preferred Qualifications

  • 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.

EXL

About EXL

Choosing a digital partner is about more than capabilities — it’s about collaboration and character.

Unrealistic overhauls and off-the-shelf products ignore what matters most — your unique needs, culture, goals, and your legacy data and technology environments.

At EXL, our collaboration is built on ongoing listening and learning to adapt our methodologies. We’re your business evolution partner—tailoring solutions that make the most of data to make better business decisions and drive more intelligence into your increasingly digital operations.

Whether your goals are scaling the use of AI and digital, redesign operating models, or driving better and faster decisions, we’re here to partner with you to help you gain—and maintain—competitive advantage with efficient, sustainable models at scale.

Our expertise in transformation, data science, and change management helps make your business more efficient and effective, improve customer relationships and enhance revenue growth. Instead of focusing on multi-year, resource- and time-intensive platform designs or migrations, we look deeper at your entire value chain to integrate strategies with impact.

We use our specialization in analytics, digital interventions, and operations management—alongside deep industry expertise — to deliver solutions that help you outperform the competition.

At EXL, it’s all about outcomes—your outcomes—and delivering success on your terms. Share your goals with us and together, we’ll optimize how you leverage data to drive your business forward.

For more information, visit www.exlservice.com.

Industry
Consulting & Advisory
Company Size
10,000+ employees
Headquarters
New York, NY
Year Founded
Unknown
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