Data Engineer

We are seeking an experienced Data Engineer to join a high-performing data and analytics team driving enterprise-wide transformation initiatives.This role offers the opportunity to work with modern cloud-native architectures, large-scale datasets, AI use cases, and advanced data technologies that power analytics, business intelligence, and machine learning solutions.Key ResponsibilitiesDesign, develop, and optimize scalable batch and real-time data pipelines.Build and maintain enterprise data lakes, lakehouse architectures, and curated analytical datasets.Develop high-performance SQL and Python code for large-scale data processing workloads.Implement robust data quality, validation, monitoring, and observability frameworks.Develop cloud-native data solutions and infrastructure-as-code deployments.Collaborate closely with Data Scientists, BI teams, and business stakeholders to deliver trusted and governed data products.Support AI and machine learning initiatives by preparing high-quality training datasets and enabling MLOps workflows.Required Experience5+ years of experience in Data Engineering.Strong experience designing and building ETL/ELT pipelines at scale.Advanced expertise in SQL and Python.Hands-on experience with cloud data platforms, preferably Azure.Experience with modern data warehousing and lakehouse architectures.Exposure to CI/CD and infrastructure automation practices.Top Skills for the Ideal CandidateMicrosoft FabricAzure Data Factory (ADF)DatabricksPySparkPythonAdvanced SQLLakehouse ArchitectureDelta LakeAzure Synapse AnalyticsTerraformInfrastructure as Code (IaC)GitHub ActionsAzure DevOpsData GovernanceData Quality FrameworksChange Data Capture (CDC)API IntegrationsStreaming Data PipelinesMLOps EnablementMetadata ManagementData LineageNice to HaveScalaHadoop ecosystem exposureMachine Learning pipeline experienceExperience supporting enterprise AI initiativesIf you enjoy solving complex data challenges and building platforms that enable data-driven decision making at scale, we would love to hear from you.#DataEngineer #SeniorDataEngineer #Azure #MicrosoftFabric #Databricks #PySpark #DataEngineering #MachineLearning #AI #Analytics #CloudEngineering #UAEJobs #Hiring