Big Data Infrastructure Engineer - Jordan

• Job Overview
• We are seeking a Big Data Infrastructure Engineer with a strong AI-first and automation-driven mindset to join our
• infrastructure team and support the administration and operation of enterprise Big Data platforms and their underlying
• infrastructure.
• The ideal candidate should have strong hands-on experience in Linux operating system administration and database
• administration, with particular focus on configuration, troubleshooting, performance tuning, optimization, monitoring,
• and production support.
• The candidate is expected to actively leverage AI-assisted tools and automation to improve troubleshooting,
• operational efficiency, scripting, documentation, research, and day-to-day engineering activities, while maintaining
• the technical judgment required to validate solutions before implementation.
• The role also requires practical knowledge of Docker and Kubernetes, along with a good understanding of clustering,
• high availability, distributed systems, and Big Data concepts. A strong willingness to continuously learn and stay
• current with emerging AI, automation, infrastructure, and Big Data technologies is essential.

• Duties and Responsibilities
• •Leverage AI-assisted tools to improve troubleshooting, log analysis, scripting, documentation, research, and
• operational efficiency while validating outputs before implementation.
• •Identify repetitive operational activities and develop automation solutions using Shell/Bash, Python, Ansible,
• APIs, or other appropriate technologies.
• •Continuously evaluate emerging AI and automation capabilities and identify practical opportunities to improve
• infrastructure operations and engineering workflows.
• •Administer, configure, manage, troubleshoot, and optimize Linux operating systems supporting production and
• non-production environments.
• •Monitor and analyze CPU, memory, disk, filesystem, network, processes, and system services, and perform
• configuration and performance tuning when required.
• •Administer and manage PostgreSQL, MySQL/MariaDB, and Redis, including configuration, access management,
• backup and recovery, monitoring, troubleshooting, maintenance, and performance optimization.
• •Support database replication, high availability, backup/recovery, and capacity management requirements.
• •Support and maintain Docker and Kubernetes environments, including deployment, configuration, monitoring,
• troubleshooting, scaling, and cluster administration.
• •Support clustered and distributed platforms with focus on high availability, replication, failover, load
• balancing, quorum, capacity management, and disaster recovery.
• •Support the installation, configuration, monitoring, administration, and upgrade of Cloudera/Hortonworks and
• Hadoop-based environments.
• •Support and troubleshoot Hadoop ecosystem components such as HDFS, YARN, Hive, Spark, HBase, and
• Kafka, as well as related platforms such as Airflow, Superset, and Trino/Presto where applicable.
• •Perform production monitoring and support using tools such as Zabbix and Grafana, and participate in incident
• management, root cause analysis, and corrective/preventive actions.
• •Support security integrations and technologies such as Ranger, LDAP, and Kerberos.
• •Collaborate with development, infrastructure, and other technical teams on deployments, upgrades,
• infrastructure changes, troubleshooting, and production support.
• •Maintain technical documentation, operational procedures, automation, and infrastructure configuration records.
• Skills and Qualifications
• •3-5 years of relevant hands-on experience in Linux/System Administration, Database Administration, Big Data
• Infrastructure, DevOps, or a related infrastructure role.
• •Bachelor's Degree in Computer Science, Computer Engineering, Information Technology, or a related field.
• •Strong AI-first and automation-driven mindset, with demonstrated ability to use AI-assisted tools effectively in
• technical workflows and critically validate generated recommendations before applying them.
• Big Data Infrastructure Engineer - Job Description
• Good scripting and automation skills using Shell/Bash; knowledge of Python, Ansible, APIs, or similar
• technologies is highly desirable.
• •Strong hands-on knowledge of Linux administration, including system configuration, service management,
• resource management, storage/filesystems, permissions, networking, troubleshooting, and performance
• optimization.
• •Good hands-on knowledge of PostgreSQL, MySQL/MariaDB, and Redis administration, including configuration,
• backup and recovery, users and privileges, monitoring, maintenance, and performance tuning.
• •Good understanding of database concepts including connections, transactions, locks, indexing, query
• performance, replication, and high availability.
• •Good hands-on understanding of Docker and Kubernetes, including containers, images, pods, deployments,
• services, storage, networking, monitoring, resource management, and troubleshooting.
• •Good understanding of clustering and distributed system concepts, including high availability, replication,
• failover, load balancing, and quorum.
• •Good understanding of networking fundamentals, including TCP/IP, DNS, ports, routing, connectivity, and
• network troubleshooting.
• •Good understanding of Big Data concepts and the Hadoop ecosystem, with familiarity or hands-on experience
• in HDFS, YARN, Hive, Spark, Kafka, and HBase.
• •Familiarity with Cloudera or Hortonworks platforms is highly desirable.
• •Familiarity with Zabbix/Grafana, Ranger/LDAP/Kerberos, CI/CD tools, and Trino/Presto is an advantage.
• •Strong troubleshooting, analytical, and problem-solving skills, with the ability to investigate issues
• systematically and identify root causes.
• •Ability to work effectively in production environments, collaborate across technical teams, take ownership of
• assigned activities, and continuously develop technical knowledge.

• Preferred Certifications
• •Relevant Linux certifications such as RHCSA or RHCE.
• •Kubernetes certification such as CKA.
• •PostgreSQL or MySQL-related certifications/training.
• •Red Hat Ansible or other relevant automation certifications.

Note: Certifications are considered an advantage and are not a substitute for practical hands-on experience.