Job description

Job Details:Extensive experience in designing, implementing, and supporting Data Warehousing, ETL and Business Intelligence solutions on Microsoft Fabric data pipelinesDesign and implement scalable and efficient data pipelines using Azure Data Factory, Pyspark notebooks, Spark SQL, and Python. This includes data ingestion, data transformation, and data loading processes.Create and optimize data models to support business intelligence and analytics requirements.Develop complex SQL scripts and procedures for data extraction, transformation, and loading.Collaborate with business team to understand data requirements and translate them into technical specifications.Implementation and MaintenanceImplement data integration solutions, ensuring data quality, consistency, and security.Monitor and troubleshoot ETL processes, identifying and resolving issues in a timely manner.Maintain and optimize ETL pipelines for performance and scalability.Ensure data compliance and governance standards are met throughout the ETL process.Collaboration and CommunicationWork closely with cross-functional teams including data analysts, and business stakeholders.Document ETL processes, data flows, and technical specifications for future reference and knowledge sharing.Communicate effectively with stakeholders to ensure alignment on project goals and deliverables.Education, Experience and SkillsBachelor’s degree - Computer Science, Information Technology, or a related field.At least 10+ years of experience in ETL development, data integration, or related roles.Proven experience with Microsoft Fabric and other Microsoft data integration tools.Strong knowledge of SQL, data modeling, and data warehousing concepts.Proficient in Microsoft Fabric tools and environments.Advanced SQL scripting and database management skills.Strong problem-solving and analytical skills.Detail-oriented with a focus on data quality and accuracy.Familiarity with Agile development methodologies

Requirements