01Responsibilities
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 FrameworksPerformance 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. .
