Microsoft Fabric Data Engineer

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.

Responsibilities: 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.

Qualifications: 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.