Job Description
We are looking for a Data Engineer with 5-10 years of experience in data warehousing, ETL/ELT processes, data modeling, and cloud-based technologies, particularly Azure and Fabric. The ideal candidate will have a strong background in building and managing data solutions within the Microsoft Fabric platform and will be proficient in various programming languages.
Your key responsibilities
Design, develop, and manage data solutions using Microsoft Fabric, including Lakehouse, Data Engineering, Pipelines, Spark, Notebooks, and KQL Database.
Implement ETL/ELT processes to ensure efficient data integration and transformation.
Create and maintain data models to support business intelligence and analytics initiatives.
Utilize Azure data storage services (e.g., Azure SQL Database, Azure Blob Storage, Azure Data Lake Storage) for effective data management.
Collaborate with cross-functional teams to gather requirements and deliver data solutions that meet business needs.
Write and optimize code in SQL, Python, PySpark, and Scala for data processing and analysis.
Implement DevOps practices and CI/CD pipelines for seamless data deployment and version control.
Monitor and troubleshoot data pipelines to ensure reliability and performance.
Communicate effectively with diverse teams to foster collaboration and knowledge sharing
 
                             
                 
                 
            	                	