Senior Cloudera Machine Learning Engineer

About usWhere elite tech talent meets world-class opportunities!At Xenon7, we work with leading enterprises and innovative startups on exciting, cutting-edge projects that leverage the latest technologies across various domains of IT including Data, Web, Infrastructure, AI, and many others. Our expertise in IT solutions development and on-demand resources allows us to partner with clients on transformative initiatives, driving innovation and business growth. Whether it's empowering global organizations or collaborating with trailblazing startups, we are committed to delivering advanced, impactful solutions that meet today's most complex challenges.About the ClientJoin one of Egypt's premier financial institutions, renowned for its extensive suite of banking services, including Institutional Banking and Personal Banking. With a global presence through over 50 branches and correspondents, we serve a diverse and dynamic clientele. As we embark on a groundbreaking digital transformation journey, we are committed to leveraging the latest technologies to establish a state-of-the-art data architecture that will redefine our performance and service delivery.Job SummaryWe are seeking a highly experienced Senior Cloudera Administrator to lead and manage enterprise-scale Hadoop/Cloudera environments. The ideal candidate will have strong hands-on experience with Cloudera platforms, proven leadership managing teams of data engineers, and deep expertise in building and overseeing ETL pipelines. This role requires the ability to design, understand, and communicate complex data architectures and data flows.Key ResponsibilitiesPlatform & Cluster ManagementAdminister, maintain, and optimize Cloudera Hadoop clusters (CDP or legacy Cloudera distributions)Ensure high availability, performance tuning, capacity planning, and cluster securityManage upgrades, patching, monitoring, and troubleshooting of Cloudera services (HDFS, YARN, Hive, HBase, Impala, Spark, Kafka, etc.)Data Engineering & ETLOversee the design, development, and maintenance of ETL/ELT pipelines using tools such as Spark, Hive, Kafka, Airflow, NiFi, or similarReview and guide data ingestion, transformation, and storage strategies across batch and streaming workloadsEnsure data quality, reliability, and scalability of pipelinesArchitecture & DesignDesign, understand, and document data storage architectures and data flow diagramsCollaborate with stakeholders to define end-to-end data platform architectureTranslate business requirements into scalable, secure data solutionsLeadershipLead and mentor teams of data engineers, providing technical guidance and best practicesSet standards for development, deployment, monitoring, and documentationWork closely with data scientists, analysts, DevOps, and application teamsSecurity & GovernanceImplement security best practices including Kerberos, Ranger, and data access controlsSupport data governance, lineage, and compliance requirementsRequirements7+ years of experience in data platforms, Hadoop, or big data administrationStrong hands-on experience with Cloudera (CDH/CDP) administrationProven experience managing and mentoring data engineering teamsStrong background in ETL pipeline design and implementationExpertise with Spark, Hive, HDFS, YARN, Kafka, Airflow/NiFi (or similar tools)Ability to design and draw architecture diagrams for data storage and data flowsSolid understanding of Linux, networking, and distributed systemsExperience with cloud platforms (AWS, Azure, or GCP) is a strong plusExcellent communication and documentation skillsNice to HaveCloudera certification(s)Experience with containerization (Docker, Kubernetes)Exposure to data governance tools and metadata managementExperience in large-scale enterprise or regulated environmentsBenefitsAttractive, market-leading salary packageClear career advancement path with professional development opportunitiesOne-year contract with Xenon7, presenting a significant opportunity for renewal#J-18808-Ljbffr