Data Engineer

For our company site in Haifa, the Data Engineering department is looking for a Data Engineer to join a team developing advanced data solutions in a dynamic and innovative technological environmentYou will work on modern data lake architecture using Microsoft Fabric, enabling scalable and efficient data processing for analytics and business insights
In this role you willDesign, develop, and maintain ETL pipelines for ingesting and transforming data from multiple sourcesBuild and optimize data models for analytics, reporting, and business insightsDevelop scalable data processing solutions using Python and PySparkWork with SQL and Data Warehousing concepts to ensure data integrity, reliability, and performanceDesign and implement CI/CD pipelines for automated deployment processes using Azure DevOpsCollaborate with cross-functional teams to translate business requirements into technical data solutionsImplement best practices for data governance, security, and quality in modern Data Lake environmentsStay up to date with emerging technologies and contribute to continuous improvement initiatives
RequirementsBachelor’s degree in Information Systems, Software Engineering, Computer Science, or a related fieldStrong knowledge of SQL, relational databases, Data Warehousing concepts, and Data Modeling techniquesHands-on experience in ETL development and building scalable data pipelinesHands-on experience with Python and PySparkFamiliarity with modern Data Lake architectures and modern data platforms (experience with Microsoft Fabric is a plus)Excellent problem-solving skills and ability to work in a fast-paced environmentHands-on experience with Azure DevOps, CI/CD pipelines, version control systems (Git), and branching strategiesExperience with cloud-based data solutions (Azure, AWS, or GCP) – AdvantageKnowledge of GraphQL, API integration, data virtualization – Advantage
*Only relevant applications will be answered#Haifa