Description

You will design, build, and maintain scalable data pipelines and ETL processes.

Responsibilities

• Develop and optimize data solutions using Microsoft Fabric.
• Implement high-performance data processing using PySpark.
• Work with large-scale structured and unstructured datasets.
• Ensure data quality, reliability, and performance across pipelines.
• Collaborate with data scientists, analysts, and business teams.

Required Skills

• 5+ years of experience as a Data Engineer.
• Strong hands-on experience with Microsoft Fabric.
• Proficiency in PySpark and distributed data processing.
• Experience with data modeling and ETL/ELT frameworks.
• Good understanding of data warehousing and lakehouse concepts.
• Knowledge of SQL, performance tuning, and optimization.
• Familiarity with CI/CD and data pipeline automation.

Preferred Skills

• Experience with Azure data services.

Key Skills

Education

Any Gradute