Data Engineering & Warehousing Engineer

Job Description: Data Engineering & Warehousing EngineerJob Title: Data Engineering & Warehousing EngineerExperience: 3–11 YearsLocation: Riyadh - OnsiteEmployment Type: Full-TimeJob OverviewWe are seeking a highly skilled Data Engineering & Warehousing Engineer with 3–11 years of experience to design, develop, and maintain scalable data platforms and enterprise data warehouse solutions. The ideal candidate will have hands-on expertise in building ETL/ELT pipelines, data integration, cloud-based data platforms, and big data processing technologies. You will play a key role in enabling reliable, high-performance analytics and business intelligence solutions.Key ResponsibilitiesDesign, develop, and optimize scalable ETL/ELT pipelines for structured and unstructured dataBuild and maintain enterprise data warehouses, data lakes, and modern data platformsDevelop real-time and batch data processing solutionsIntegrate data from multiple internal and external sources while ensuring data quality and governanceCollaborate with Data Scientists, BI Developers, and business stakeholders to support analytical requirementsOptimize data storage, query performance, and pipeline reliabilityImplement data security, monitoring, and governance best practicesTroubleshoot and resolve data pipeline and platform issuesParticipate in architecture discussions and contribute to data platform modernization initiativesRequired Technical SkillsCloud Data PlatformsHands-on experience with Google BigQuery and Dataflow and Dataproc and Pub/SubExperience with Azure Synapse and Azure Data FactoryExperience with Amazon Redshift and AWS GlueData Processing & StreamingStrong experience with Apache Spark and Apache KafkaExperience building batch and real-time data processing pipelinesData TransformationHands-on experience with dbt or Oracle Data Integrator (ODI) for data transformation and orchestrationExperience implementing ETL/ELT best practices and reusable data modelsDatabases & Data WarehousingStrong experience with Oracle or PostgreSQLExpertise in SQL, relational database design, performance tuning, and query optimizationData EngineeringExperience with data modeling, data governance, metadata management, and data quality frameworksKnowledge of dimensional modeling and modern data warehouse architecturesQualificationsBachelor's degree in Computer Science, Information Technology, Data Engineering, Software Engineering, or a related field3–11 years of professional experience in Data Engineering, Data Warehousing, or Big Data technologiesStrong programming and scripting skills using SQL, Python, or similar languagesExcellent analytical and problem-solving abilitiesExperience working in Agile/Scrum development environmentsPreferred SkillsExperience with cloud-native data lake and lakehouse architecturesKnowledge of CI/CD pipelines and Infrastructure as Code (IaC)Familiarity with containerization technologies such as Docker and KubernetesExperience supporting machine learning and analytics workloadsCloud certifications on AWS, Microsoft Azure, or Google Cloud Platform are a plusKey Technology StackGoogle Cloud Data Services: BigQuery and Dataflow and Dataproc and Pub/SubAzure Data Services: Azure Synapse and Azure Data FactoryAWS Data Services: Amazon Redshift and AWS GlueData Processing: Apache Spark and Apache KafkaData Transformation: dbt or Oracle Data Integrator (ODI)Databases: Oracle or PostgreSQLProgramming: SQL and PythonCloud Platforms: Google Cloud Platform or Microsoft Azure or Amazon Web Services (Preferred)