What Jobs are available for Data Engineer in Oman?
Showing 2 Data Engineer jobs in Oman
Python Data Engineer
Posted today
Job Viewed
Job Description
Apt Resources is hiring a Python Data Engineer for our client in the banking sector. This role focuses on Big Data architectures and data warehousing, with hands-on involvement in tools like Tableau, Teradata, NIFI, and IBM DataStage.
Key Responsibilities:
- Design scalable Big Data and DWH architectures.
- Develop KPIs and dashboards to analyze market trends.
- Work with Tableau for data visualization and reporting.
- Perform data migration using NIFI and ETL with IBM DataStage.
- Collaborate with teams and vendors on data-driven initiatives.
- Maintain data privacy, security, and regulatory compliance.
- 3 to 4 years of experience in data engineering or related roles.
- Bachelor's degree in Engineering or a related field.
- Certifications in Big Data or Data Science are preferred.
- Proficiency in SQL, Python, PySpark, and Shell scripting (Bash).
- Experience with data visualization tools like Tableau.
- Familiarity with ETL tools such as IBM DataStage and data pipelines using NIFI.
- Knowledge of REST, JSON, SOAP, and Web Services APIs.
- Strong analytical, communication, and project leadership skills.
- Experience in telecom data (2G/3G) is an advantage.
Salary: USD 2,000 - 2,500 per month
Is this job a match or a miss?
Server & Data center Engineer
Posted today
Job Viewed
Job Description
JD For Server & Datacenter Engineer
· System design: Analyze requirements and design scalable and reliable IT infrastructure solutions, which can include physical servers, virtual machines, storage systems, and cloud-based resources.
· Deployment and configuration: Install, configure, and provision servers, storage devices, and other infrastructure hardware and software.
· Performance monitoring: Continuously monitor system and network performance using various tools to proactively identify and resolve potential issues.
· Troubleshooting: Diagnose and resolve complex problems related to server, network, and storage systems to minimize downtime.
· Security management: Implement and enforce security best practices, including access controls, patch management, and vulnerability remediation, to protect company data and systems.
· Backup and disaster recovery: Develop, implement, and test backup and disaster recovery plans to ensure business continuity.
· Documentation: Maintain accurate and comprehensive documentation of system configurations, processes, and network diagrams.
· Technical leadership: Mentor junior and mid-level engineers, provide technical guidance, and lead the infrastructure projects.
· Cross-functional collaboration: Work closely with other IT teams, such as network and security, to ensure seamless integration and support.
Required skills and qualifications
Technical skills:
· Operating Systems: In-depth knowledge of Windows Server and/or various Linux distributions (e.g., Ubuntu, RHEL).
· Virtualization: Hands-on experience with virtualization platforms like VMware, Hyper-V, or KVM.
· Cloud Computing: Experience with major cloud platforms such as Amazon Web Services (AWS), Microsoft Azure, or Google Cloud Platform (GCP).
· Active Directory: Strong understanding of Domain protocols and services (TCP/IP, DNS, DHCP),
· Storage Technologies: Knowledge of storage solutions, including Storage Area Networks (SAN), Network-Attached Storage (NAS), and cloud storage services.
· Monitoring and Logging: Experience with monitoring tools like Prometheus, Zabbix, or Datadog.
· UPS: Performing routine inspections, preventive maintenance. Diagnosing and resolving technical issues with UPS systems and related power infrastructure.
if you are interested kindly share your cv to or contact
Job Type: Full-time
Pay: RO RO per month
Is this job a match or a miss?
Be The First To Know
About the latest Data engineer Jobs in Oman !
Explore exciting data engineer job opportunities. Data engineers are in high demand, responsible for designing, building, and maintaining data pipelines and systems. These professionals work with large datasets, ensuring data quality and accessibility for analysis and reporting.