Senior AWS Data Engineer / Data Platform Engineer

Position OverviewWe are seeking a highly experienced Senior AWS Data Engineer to design, build, and optimize large-scale data platforms on AWS. The ideal candidate will have deep hands-on experience with AWS data services, batch and streaming data processing, and orchestration frameworks, playing a key role in architecting and maintaining enterprise-grade data solutions.Experience: 8+ Years  Location: Dubai, UAE (Onsite)  Employment Type: Full-TimeKey ResponsibilitiesDesign, develop, and optimize scalable data pipelines using AWS native servicesLead the implementation of batch and near-real-time data processing solutionsArchitect and manage data ingestion, transformation, and storage layersBuild and maintain ETL/ELT workflows using AWS Glue and Apache Spark on EMROrchestrate complex data workflows using Apache Airflow (MWAA)Develop and manage serverless data processing using AWS LambdaDesign and optimize data warehouses using Amazon RedshiftImplement and manage NoSQL data models using Amazon DynamoDBUtilize AWS DataZone for data governance, cataloging, and access managementMonitor, log, and troubleshoot data pipelines using Amazon CloudWatchEnsure data security, quality, performance, and cost optimizationCollaborate with architects, analytics teams, and business stakeholdersProvide technical guidance and mentorship to junior team membersRequired Skills & Experience8+ years of experience in data engineering and data platform developmentStrong hands-on experience with:AWS GlueAmazon EMR (Spark)AWS LambdaApache Airflow (MWAA)Amazon EC2Amazon CloudWatchAmazon RedshiftAmazon DynamoDBAWS DataZoneStrong experience with batch data processing architecturesProficiency in SQL, Python, and SparkExperience working with large-scale datasets and distributed systemsStrong understanding of data modeling, data warehousing, and ETL patternsExperience with CI/CD pipelines and Infrastructure as Code is a plusNice to HaveAWS Certification (Data Analytics / Solutions Architect)Experience with data governance and metadata managementExposure to data lake and lakehouse architectures#J-18808-Ljbffr