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big data engineer

data modeler Jobs in Charge Of Housing Jobs In Oman Branch Jobs In Charge Of Housing Jobs In Charge Of Housing Jobs In Muscat

data modeler

data modelling engineer

Nets-international Communication

NETS International Group is seeking an experienced Data Modelling Engineer to design, develop, and optimize data models supporting advanced analytics, business intelligence, and cloud-based data solutions. The ideal candidate will build scalable data pipelines, define robust data architectures, and ensure efficient integration across platforms such as MySQL, PostgreSQL, MongoDB, Hadoop, and Azure Data Lake.You will collaborate with data engineers, analysts, and solution architects to establish a unified data foundation aligned with business objectives and analytics needs.Key Responsibilities:<ul><li>Design, develop, and maintain conceptual, logical, and physical data models to support enterprise data architecture and reporting needs.</li><li>Build and manage data pipelines and integrations using ETL tools like Talend, Informatica, and custom scripts (Bash/Unix Shell, Python).</li><li>Collaborate with cross-functional teams to capture business requirements and translate them into optimized data models and schemas.</li><li>Design and optimize database structures in SQL-based platforms (MySQL, PostgreSQL, SQL Server, Oracle) and NoSQL systems (MongoDB).</li><li>Implement and maintain data processing across big data ecosystems &mdash; Hadoop, Spark, Hive, and Azure Data Lake.</li><li>Ensure data accuracy, consistency, and governance across distributed data environments.</li><li>Develop data lineage and metadata documentation to support transparency and compliance.</li><li>Optimize query performance and storage design for analytics workloads.</li><li>Collaborate with analytics and BI teams (e.g., using Looker, Power BI) to deliver accurate and performant data models.</li><li>Participate in Agile development cycles, ensuring timely delivery of data solutions.</li><li>Maintain documentation and provide technical support for deployed models and data architectures.</li></ul>Required Qualifications:<ul><li>Bachelor&rsquo;s or Master&rsquo;s degree in Computer Science, Information Systems, or Data Engineering.</li><li>4&ndash;7 years of experience in data modelling, data architecture, or database design.</li><li>Proven experience with SQL and NoSQL databases (MySQL, PostgreSQL, MongoDB).</li><li>Strong understanding of data warehouse and data lake architectures.</li><li>Hands-on experience with ETL tools (Talend, Informatica) and scripting (Bash, Python).</li><li>Familiarity with big data platforms (Hadoop, Spark, Hive).</li><li>Experience in data governance, metadata management, and lineage documentation.</li><li>Knowledge of cloud platforms (AWS, Azure Data Lake, or GCP).</li><li>Excellent understanding of database performance tuning and query optimization.</li><li>Knowledge of dimensional modelling techniques (Star/Snowflake schemas).</li><li>Familiarity with RESTful APIs and data integration for analytical applications.</li><li>Experience with BI tools (Looker, Power BI, or Tableau).</li><li>Exposure to containerized environments (Docker, Kubernetes).</li><li>Understanding of Agile methodologies for collaborative delivery.</li></ul>Job Type: Full-timeAbility to commute/relocate:<ul><li>Muscat: Reliably commute or planning to relocate before starting work (Required)</li></ul>Application Question(s):<ul><li>what is your monthly current salary with currency?</li><li>what is your monthly expected salary with currency?</li><li>what is your notice period?</li></ul>Education:<ul><li>Bachelor's (Required)</li></ul>Experience:<ul><li>Data Modelling Engineering: 4 years (Required)</li></ul>

Data Modelling Engineer

Job Summary We are seeking a highly skilled Big Data Engineer (Cloudera) to lead the design, development, and implementation of scalable data solutions. The ideal candidate will possess extensive experience in big data technologies, cloud platforms, and data modeling to support advanced analytics and data-driven decision-making. This role offers an exciting opportunity to work with cutting-edge tools and methodologies in a dynamic environment focused on innovation and excellence.Duties<ul><li>Design, build and maintain robust large&#8208;scale data pipelines using the Cloudera Data Platform (CDP) / Hadoop ecosystem, supporting streaming and batch ingestion of structured and unstructured data.</li><li>Work with big-data frameworks such as Apache Spark, Hive, HDFS, and manage data processing jobs at scale.</li><li>Integrate data from diverse sources (Oracle, Microsoft SQL Server, external APIs, Linked Data) into centralized data lakes or warehouses.</li><li>Collaborate with the cloud team to implement data storage and compute solutions on platforms like AWS, Azure and Cloudera hybrid environments.</li><li>Develop and optimize ETL/ELT processes (using Python, SQL, Shell scripting, Bash) to support analytics, reporting and data science workloads.</li><li>Build data models and schemas appropriate for big data warehouses and analytics&mdash;ensuring performance, scalability, and maintainability.</li><li>Partner with analytics, BI and data science teams to define data requirements, ensure data quality, and make data available in usable form (for dashboards, machine learning, etc.).</li><li>Ensure data governance, security, lineage, and compliance standards are embedded in the data infrastructure.</li><li>Create and maintain documentation of architecture, data flows, processes and best practices.</li><li>Operate within Agile development processes, perform code reviews, and support production operations / incident resolution.</li></ul>Qualifications<ul><li>3-5 years of experience in a Data Engineer or Big Data Engineer role, working with big data technologies and platforms.</li><li>Hands-on experience with Cloudera Data Platform or Hadoop ecosystem: HDFS, Hive, Spark, Impala, etc.</li><li>Proficient in Python and/or Java/Scala for data processing, along with strong SQL skills (Oracle, MS SQL Server or similar).</li><li>Experience developing ETL/ELT workflows using Python, Shell/Bash scripting and SQL.</li><li>Familiarity with cloud data platforms (AWS S3/Glue/EMR, Azure Data Lake or equivalents) and managing data infrastructure in the cloud.</li><li>Understanding of data modelling for large-scale data warehouses, data lakes and analytics platforms.</li><li>Knowledge of RESTful API integration and processing data from APIs or real-time streams is a plus.</li><li>Experience collaborating with data science/analytics teams to support modelling, BI and advanced analytics efforts.</li><li>Excellent problem-solving skills, strong communication skills, and ability to work in a dynamic, multi-functional team environment.</li><li>Exposure to Agile methodologies and CI/CD pipelines for data engineering tasks is a plus.</li></ul>Job Type: Full-timeAbility to commute/relocate:<ul><li>Muscat: Reliably commute or planning to relocate before starting work (Required)</li></ul>Application Question(s):<ul><li>What is your monthly current salary?</li><li>What is your monthly expected salary?</li><li>What is your notice period?</li></ul>Education:<ul><li>Bachelor's (Required)</li></ul>Experience:<ul><li>Big Data Engineer: 3 years (Required)</li></ul>

Big Data Engineer

NETS International Group is seeking a highly skilled Full Stack Developer to join our growing technology division. The ideal candidate will possess a strong foundation in both front-end and back-end development, with hands-on experience in building scalable web applications, APIs, and cloud-based systems.This role provides an exciting opportunity to work on enterprise-grade digital solutions, leveraging cutting-edge technologies such as React, Node.js/Express, .NET, Ruby on Rails, and cloud platforms (AWS &amp; Azure). You will collaborate with cross-functional teams to develop secure, high-performance applications that drive digital transformation across our global clients.Key Responsibilities:<ul><li>Design, develop, and deploy robust, scalable web applications using frameworks such as React, Express, Ruby on Rails, and .NET.</li><li>Build and maintain RESTful APIs to enable seamless communication between systems and third-party integrations.</li><li>Design and optimize relational database schemas (MySQL, SQL Server, PostgreSQL) and ensure data integrity through efficient data modelling and query optimization.</li><li>Collaborate with architects, DevOps, and cloud teams to ensure secure, scalable, and efficient deployments on AWS and Azure environments.</li><li>Participate in system architecture design, focusing on performance, scalability, and security models (RBAC, authentication, and access control).</li><li>Maintain version control and ensure code quality through best practices using Git, GitHub, or SVN.</li><li>Develop responsive and interactive front-end components using modern JavaScript frameworks with a focus on user experience and performance.</li><li>Troubleshoot and resolve issues related to application performance, deployment, or infrastructure.</li><li>Collaborate with project managers, QA engineers, and stakeholders using Agile methodologies to deliver high-quality solutions.</li><li>Stay current with emerging technologies and frameworks that can enhance system performance and development efficiency.</li></ul>Qualifications:<ul><li>Bachelor&rsquo;s degree in Computer Science, Software Engineering, or a related field.</li><li>3&ndash;6 years of hands-on experience in full stack development within enterprise or digital transformation environments.</li><li>Proficiency in JavaScript, Python, Java, C#, C++, or Ruby with experience in frameworks such as React, Express, or .NET Core.</li><li>Strong understanding of RESTful API design, integration, and application security best practices.</li><li>Experience with cloud platforms (AWS and Azure) for deployment, CI/CD, and infrastructure management.</li><li>Solid grasp of database technologies (MySQL, SQL Server, PostgreSQL) and schema optimization principles.</li><li>Familiarity with Linux environments, containerization tools (Docker, Kubernetes), and CI/CD pipelines.</li><li>Experience working in an Agile/Scrum environment with strong collaboration and communication skills.</li><li>Exposure to IT infrastructure, networking, or DevOps concepts is a plus.</li><li>Nice-to-have: experience in VBA scripting, data visualization, or emerging technologies such as quantum computing or AI integration.</li></ul>Job Type: Full-timeAbility to commute/relocate:<ul><li>Muscat: Reliably commute or planning to relocate before starting work (Required)</li></ul>Application Question(s):<ul><li>what is your monthly current salary with currency?</li><li>what is your monthly expected salary with currency?</li><li>what is your notice period?</li></ul>Education:<ul><li>Bachelor's (Required)</li></ul>Experience:<ul><li>Full Stack Developer: 4 years (Required)</li></ul>

Full Stack Developer

Job Overview We are seeking a highly skilled and detail-oriented Network Engineer to join our dynamic IT team. The ideal candidate will be responsible for designing, implementing, and maintaining complex network infrastructure across multiple environments, including data centers and cloud platforms. This role requires a deep understanding of computer networking, network security, and system administration to ensure high availability, security, and optimal performance of our network systems. The Network Engineer will collaborate with cross-functional teams to support enterprise-wide network operations and support the deployment of innovative solutions aligned with organizational goals.Skills<ul><li>Bachelor&rsquo;s degree in Computer Science, Information Technology, Telecommunications, or related field.</li><li>Cisco Certifications: CCNA, CCNP, or CCIE (required/preferred depending on level).</li><li>Strong expertise in Routing and Switching (BGP, OSPF, EIGRP, MPLS, VLAN, STP, QoS).</li><li>Hands-on experience with SD-WAN technologies (Cisco, VMware, Fortinet, or similar).</li><li>Familiarity with SDN architecture, controllers, and automation frameworks.</li><li>Experience managing and maintaining Data Center network infrastructure.</li><li>Solid understanding of telecom protocols, IP addressing, and network segmentation.</li><li>Excellent troubleshooting, analytical, and problem-solving skills.</li><li>Ability to work in a fast-paced telecom environment with on-call rotation as needed.</li><li>Strong communication and documentation skills.</li></ul>Job Type: Full-timeAbility to commute/relocate:<ul><li>Muscat: Reliably commute or planning to relocate before starting work (Required)</li></ul>Application Question(s):<ul><li>What is your monthly current salary with currency?</li><li>What is your monthly expected salary with currency?</li><li>What is your notice period?</li></ul>Education:<ul><li>Bachelor's (Required)</li></ul>Experience:<ul><li>Network Engineer (CCNA / CCNP/CCIE): 3 years (Required)</li></ul>

Network Engineer (CCNA / CCNP/CCIE)

Job Summary We are looking for a skilled Data Center Engineer to join NETS International&rsquo;s dynamic infrastructure team. In this role you will ensure the high availability, performance and scalability of our data-centre operations while supporting advanced analytics, cloud services and machine learning initiatives.Key Responsibilities:<ul><li>Design, implement and maintain data centre infrastructure to deliver reliable, high-performance operations.</li><li>Collaborate with cross-functional teams to develop and deploy machine learning models using TensorFlow, R and Python.</li><li>Manage ETL workflows and database architecture for efficient data storage and access.</li><li>Leverage big-data technologies such as Hadoop and Spark for large-scale data processing and analytics.</li><li>Conduct data mining and analysis using SQL, SAS and analytics tools to derive actionable insights.</li><li>Apply AI and NLP techniques to enhance operational efficiency and decision-making.</li><li>Oversee ML model training, deployment and monitoring for continuous improvement.</li><li>Work with linked-data/integration frameworks to unify disparate datasets for robust analytics.</li><li>Use programming/scripting languages (Java, C, VBA, Bash) for automation, operational support and custom solutions.</li><li>Support emerging quantum-engineering initiatives by applying advanced computational techniques where relevant.</li></ul>Required Skills &amp; Qualifications:<ul><li>Proficient in AWS cloud services and infrastructure management.</li><li>Strong understanding of machine learning frameworks (TensorFlow, Spark, etc.).</li><li>Experience with unsupervised learning and other ML techniques.</li><li>Hands-on experience in ETL processes and tools (e.g., Talend) for data integration.</li><li>Solid knowledge of database design, SQL and relational database management.</li><li>Familiarity with big-data ecosystems (Hadoop, Spark).</li><li>Proficiency in programming languages: Python, Java, C, R, Bash/Unix shell, VBA.</li><li>Experience with analytics/visualisation tools (e.g., Looker).</li><li>Excellent problem-solving skills with focus on ML model deployment and optimisation.</li><li>A drive to innovate and apply cutting-edge technologies in a fast-moving environment.</li></ul>Job Type: Full-timeAbility to commute/relocate:<ul><li>Muscat: Reliably commute or planning to relocate before starting work (Required)</li></ul>Application Question(s):<ul><li>what is your monthly current salary?</li><li>What is your monthly expected salary?</li><li>What is your notice period?</li></ul>Education:<ul><li>Bachelor's (Required)</li></ul>Experience:<ul><li>AI Data Center Engineer: 3 years (Required)</li></ul>

AI Data Center Engineer

Overview We are seeking a skilled Splunk Engineer with strong administration and operational experience to design, implement, and maintain Splunk infrastructure and analytics solutions. The ideal candidate will have hands-on expertise in Splunk Enterprise / Enterprise Security (ES), data onboarding, dashboard creation, alert tuning, and system administration. This role bridges engineering, operations, and security analytics, ensuring Splunk runs optimally while delivering actionable insights.Key Responsibilities<ul><li>Design, deploy, and maintain Splunk environments (indexers, search heads, forwarders, deployment servers, cluster masters).</li><li>Create and optimize SPL queries, dashboards, reports, and alerts for operational visibility and threat detection.</li><li>Develop and automate data onboarding pipelines from diverse sources (syslog, cloud, API, EDR tools).</li><li>Integrate Splunk with SIEM/SOAR platforms, cloud services (AWS, Azure, GCP), and endpoint security tools.</li><li>Support use case development for security monitoring and compliance (SOC, IT Ops, or DevOps).</li><li>Perform installation, configuration, and upgrade of Splunk components.</li><li>Manage user roles, authentication, and access control (RBAC).</li><li>Monitor system health, indexing performance, and data retention policies.</li><li>Handle license management, data optimization, and troubleshooting.</li><li>Conduct backup, recovery, and disaster recovery planning for Splunk infrastructure.</li></ul>Security &amp; Operations<ul><li>Collaborate with SOC Analysts to build and tune correlation searches.</li><li>Ensure data integrity, confidentiality, and compliance with security standards (SOC 2, ISO 27001, NIST).</li><li>Participate in incident response and threat analysis leveraging Splunk dashboards.</li><li>Automate repetitive tasks using scripts (Python, Bash, PowerShell) and APIs.</li></ul>Required Skills &amp; Qualifications<ul><li>Bachelor&rsquo;s degree in Computer Science, Information Security, or related field.</li><li>3+ years of experience in Splunk engineering or administration.</li><li>Proficiency in Splunk Enterprise / ES, SPL scripting, and data onboarding.</li><li>Experience managing Splunk clusters, indexing, and search head configurations.</li><li>Strong understanding of log parsing, data normalization, and regex extractions.</li><li>Familiarity with Linux/Windows administration and network security concepts.</li><li>Experience with security frameworks (NIST, MITRE ATT&amp;CK, SOC2, PCI-DSS).</li><li>Scripting skills in Python, Shell, or PowerShell.</li><li>Excellent problem-solving and analytical skills.</li></ul>Preferred Qualifications<ul><li>Splunk Certifications:</li><li>Splunk Core Certified Power User</li><li>Splunk Enterprise Certified Admin</li><li>Splunk Enterprise Security Certified Admin</li><li>Knowledge of cloud-based Splunk (Splunk Cloud, AWS, Azure integrations).</li><li>Experience working in a Security Operations Center (SOC) environment.</li></ul>Job Type: Full-timeAbility to commute/relocate:<ul><li>Muscat: Reliably commute or planning to relocate before starting work (Required)</li></ul>Application Question(s):<ul><li>what is your monthly current salary?</li><li>what is your monthly expected salary?</li><li>what is your notice period?</li></ul>Education:<ul><li>Bachelor's (Required)</li></ul>Experience:<ul><li>Splunk Engineer: 4 years (Required)</li></ul>

Splunk Engineer

OQGN

<div>
 
 
 
 Main tasks and responsibilities
 
 
 
 <ul>
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 Cost Estimation &amp; Modelling
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 Develop cost estimates using approved tools and methodologies
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 Lead Monte Carlo analysis, sensitivities, and contingencies
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 Maintain a cost estimation database (equipment, materials, labour, indices)
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 Ensure accuracy and consistency across the project lifecycle
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 Prepare cost estimation assumptions, documentation, and reports
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 Cost Control &amp; Benchmarking
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 Support project cost controllers with procurement and total project cost analysis
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 Benchmark cost and schedule performance against internal/external data
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 Monitor EPC contractor cost performance and compliance
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 Evaluate vendor and subcontractor quotations for materials, fabrication, and construction.
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 Apply knowledge of metallurgy to assess cost impacts of material selection, corrosion protection, and welding requirements.
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 Support benchmarking, risk analysis, and contingency development.
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 Ensure estimates comply with applicable standards (API 5L, ASME B31.8, ASTM, NACE).
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 Maintain and update cost estimation procedures and templates as and when required
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 Ensure effective use of platforms such as Cleopatra
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 Drive improvements and lessons learned in cost estimation processes
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 </ul>
 
 
 
 
 
 
 Working Conditions
 
 
 
 
 Primarily office-based, occasional travel, and sporadic visits to the project site.
 
 
 
 
 
 
 
 Education requirements
 
 
 
 
 Bachelor&rsquo;s degree in engineering (Civil, Mechanical, or Industrial)
 
 
 
 
 
 
 
 Experience and background.
 
 
 
 <ul>
 <li>
 8 to 10 years of solid technical experience in the Oil &amp; Gas industry, specializing in project cost estimation and compliance with financial and technical procedures aligned with industry&rsquo;s best practices
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 Hands-on experience in using Cost Estimation software like Cleopatra. Advanced skills in MS Excel.
 </li>
 </ul>
 
 
 
 
 
 
 Principles:
 
 
 
 <ul>
 <li>
 
 Strategic Alignment:
 
 Ensure that every action and decision will support the organization's long-term goals and aims.
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 Transparency in Responsibility:
 
 Ability to create clear reporting systems to enhance operational efficiency and overall effectiveness.
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 Continuous Improvement:
 
 Foster a culture of innovation and learning to adapt and grow in a changing environment.
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 Sustainability:
 
 Ability to meet the current business needs by combining skills with the future generations' needs, balancing environmental, social, and economic concerns within the organization&rsquo;s communities.
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 Diversity and Inclusion:
 
 Foster diversity within the workforce and promote an inclusive culture by engaging with a broad array of perspectives and talents.
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 Stakeholder Engagement:
 
 Actively involve and communicate with stakeholders to build trust and keep strong relationships.
 </li>
 </ul>
 
 
 
 
 
 
 Soft Skills:
 
 
 
 <ul>
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 Aptitude in decision-making and problem-solving.
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 Excellent interpersonal skills and multicultural sensitivity.
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 Ability to organize effectively, solve problems quickly, and communicate clearly.
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 Capable of working in a professional team environment and liaising with external parties and stakeholders.
 </li>
 </ul>
 
 
 
 
 
 
 Technical Skills:
 
 
 
 <ul>
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 Computer literate with ability in MS Office and cost estimation software.
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 Background in Mechanical, Materials, or Metallurgical Engineering
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 Experience with ASME B31.8, API 5L, and ASTM standards for pipeline and pressure vessel materials.
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 Certification in PMP, CCP, and CEP is a plus.
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 <li>
 Proficiency in technical engineering terminology in both English and Arabic.
 </li>
 <li>
 HSE, finance, budget, and reporting.
 </li>
 <li>
 In-depth knowledge of HSE regulations, standards, and best practices.
 </li>
 </ul>
 
 
 
</div>

Sr. Engineer Cost Estimation/Control

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