3d modeller, visualizer (architect) Jobs in Muscat Oman

3d modeller, visualizer (architect)

3d modeller, visualizer (interior design) Jobs in Muscat Oman

3d modeller, visualizer (interior design)

data modelling engineer Jobs in Muscat Oman

data modelling engineer

oci database engineer Jobs in Muscat Oman

oci database engineer

data modeler

Namasys Analytics

<div>
 
 
 Location:
 
 Muscat, Oman
 
 
 
 Working Days:
 
 Sunday to Thursday
 
 
 
 Experience:
 
 6+ Years
 
 
 
 Notice Period:
 
 Immediate joiners preferred (up to 30 days acceptable)
 
 
 
 
 
 
 Summary
 
 
 
 Design enterprise data models and standards to support analytics, MDM, and application integration.
 
 
 
 
 
 
 Responsibilities
 
 
 <ul>
 <li>
 Develop conceptual, logical, and physical data models; normalize/denormalize as needed for performance.
 </li>
 <li>
 Define canonical entities, naming conventions, metadata, and lineage; steward reference/master data.
 </li>
 <li>
 Partner with engineers to translate models into DDL, ETL mappings, and views; support CDC patterns.
 </li>
 <li>
 Optimize for warehouse, lakehouse, and operational reporting; document assumptions and constraints.
 </li>
 <li>
 Validate models against business rules; ensure consistency across domains and systems.
 </li>
 </ul>
 <li>
 
 </li>
 
 
 Required Skills
 
 
 <ul>
 <li>
 6+ years in data modeler roles covering dimensional and 3NF modeling, star/snowflake schemas, SCDs.
 </li>
 <li>
 Strong SQL, profiling, and modeling tools (e.g., ER/Studio, ERwin, dbt modeling concepts).
 </li>
 <li>
 Performance design for large-scale datasets; understanding of governance, security, and data quality.
 </li>
 </ul>
 
 &nbsp;
 
 
 
 Why Join Us?
 
 
 <ul>
 <li>
 Collaborative and innovative work environment.
 </li>
 <li>
 Competitive compensation &mdash; no limits for exceptional talent.
 </li>
 </ul>
 
 
 
 
 
 Facilities
 
 
 <ul>
 <li>
 Comprehensive medical insurance coverage.
 </li>
 <li>
 Work visa sponsorship and first flight ticket.
 </li>
 <li>
 Accommodation support for the first week in Muscat.
 </li>
 </ul>
 
 &nbsp;
 
 
 📧 Interested candidates can apply directly and for any query feel free to write us:
 
 hr@namasys.ai
 
 
 
 
 
 
 &nbsp;
 
</div>

Data Modeler

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

Mindstream

AP Data sphere Expert for Qatar (Oracle EBS to S/4HANA Transformation)Role OverviewWe are seeking an experienced SAP Datasphere Expert to support our transformation program migrating from Oracle E-Business Suite R12 to SAP S/4HANA. The role will focus on bridging data gaps between Oracle and SAP, enabling reporting (management and statutory), and supporting IFRS-based allocations and compliance reporting. The candidate will work closely with functional, technical, and finance teams to design, implement, and optimize data models, ensuring data accuracy and reporting readiness throughout the program.Key Responsibilities<ul><li>Data Integration &amp; Migrations</li><li>Assess and design data mapping between Oracle EBS R12 and SAP S/4HANA.</li><li>Configure and optimize SAP Datasphere for extracting, transforming, and harmonizing legacy Oracle data into S/4HANA.</li><li>Support data cleansing, enrichment, and validation to ensure data quality for reporting and analytics.</li><li>Reporting &amp; Analytics</li><li>Develop management reporting dashboards and statutory/financial reports using SAP Data sphere, SAP Analytics Cloud (SAC), or other relevant reporting tools.</li><li>Implement IFRS allocation models and ensure compliance with local GAAP and statutory reporting requirements.</li><li>Collaborate with finance and business stakeholders to define KPIs and reporting structures.</li><li>Gap Analysis &amp; Solution Design</li><li>Identify gaps between Oracle EBS legacy data structures and SAP S/4HANA reporting requirements.</li><li>Recommend and implement data modeling solutions in SAP Datasphere to bridge these gaps.</li><li>Ensure alignment with SAP best practices for data management and analytics.</li><li>Collaboration &amp; Stakeholder Management</li><li>Partner with SAP functional consultants (FI/CO, Group Reporting, Controlling, etc.) to align reporting structures.</li><li>Support business stakeholders in adopting new reporting capabilities.</li><li>Liaise with external vendors and internal IT teams to ensure smooth delivery.</li></ul>Required Skills &amp; Experience<ul><li>Core Expertise</li><li>Proven experience with SAP Datasphere (SAP Data Warehouse Cloud) including data modeling, integration, and consumption.</li><li>Strong background in data migration and reporting from Oracle EBS (R12) to SAP S/4HANA.</li><li>Hands-on experience with SAP Analytics Cloud (SAC) for reporting and visualization.</li><li>Understanding of IFRS and statutory reporting processes (Group Reporting, Consolidation, Allocations).</li><li>Technical Skills</li><li>Knowledge of ETL processes, data harmonization, and transformation logic.</li><li>Proficiency in SQL, data modeling, and integration technologies (ODP, SDI, APIs).</li><li>Experience with SAP S/4HANA Finance (FI/CO) data structures and reporting tools.</li><li>Familiarity with Oracle EBS R12 data model, especially finance and controlling modules.</li><li>Functional Knowledge</li><li>Understanding of finance and accounting processes (GL, AP, AR, FA, CO).</li><li>Exposure to statutory and management reporting requirements across multiple geographies.</li><li>Experience in financial consolidations and allocation models.</li><li>Other Requirements</li><li>8+ years of experience in data &amp; reporting roles, with at least 3+ years in SAP Datasphere/SAC.</li><li>Prior involvement in ERP transformation/migration projects (Oracle &rarr; SAP) preferred.</li><li>Strong communication and stakeholder management skills.</li><li>Ability to work in a cross-functional and global team environment.</li></ul>Nice to Have<ul><li>Experience with SAP Group Reporting or BPC (Business Planning &amp; Consolidation).</li><li>Familiarity with local statutory compliance reporting tools.</li><li>Knowledge of cloud integration platforms (CPI, Azure, etc.).</li><li>Exposure to data governance and security best practices.</li></ul>Job Type: Full-timeApplication Question(s):<ul><li>How many years of experience do you have working with SAP Datasphere (or SAP Data Warehouse Cloud)?</li><li>How many years of experience do you have with SAP Analytics Cloud (SAC)?</li><li>Have you worked on any Oracle EBS to SAP S/4HANA migration or transformation projects?</li><li>Do you have experience in data modeling, integration, and reporting in SAP Datasphere?</li><li>Do you have hands-on experience with SAP S/4HANA Finance (FI/CO) data structures?</li><li>Have you been involved in ERP transformation or migration projects?</li><li>What is your current and expected salary? Notice period?</li></ul>

SAP Datasphere Expert (Oracle EBS to S/4HANA Transformation)

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

NETS International Group is seeking a highly skilled AI/ML Engineer to join our innovation and analytics division. The ideal candidate will have strong expertise in machine learning, data science, and AI model deployment, with the ability to design, train, and optimize predictive systems that deliver measurable impact.This role involves working closely with data engineers, software developers, and cloud architects to integrate AI-driven solutions into scalable enterprise applications using modern frameworks, cloud services, and MLOps practices.Key Responsibilities:<ul><li>Design, develop, and deploy machine learning models and AI-based solutions for predictive analytics, automation, and decision support.</li><li>Perform data preprocessing, feature engineering, and model evaluation using statistical and deep learning techniques.</li><li>Implement models using Python frameworks such as TensorFlow, PyTorch, Scikit-learn, and Keras.</li><li>Collaborate with data engineers to build and maintain data pipelines for training and inference.</li><li>Integrate AI models into production environments using APIs, containers, and cloud-based services (AWS Sagemaker, Azure ML, or Google AI Platform).</li><li>Work with large datasets from diverse sources &mdash; structured, unstructured, and streaming &mdash; ensuring data quality and security.</li><li>Develop and optimize MLOps pipelines for continuous training, deployment, and monitoring of machine learning models.</li><li>Conduct research and experimentation to evaluate new AI techniques and frameworks that can enhance enterprise systems.</li><li>Collaborate cross-functionally with business and technical teams to translate requirements into actionable AI/ML solutions.</li><li>Ensure model explainability, fairness, and compliance with company and industry standards.</li></ul>Qualifications:<ul><li>Bachelor&rsquo;s or Master&rsquo;s degree in Computer Science, Data Science, Artificial Intelligence, or related field.</li><li>Proven experience (3+ years) in machine learning, AI model development, and data analytics.</li><li>Proficiency in Python, with strong knowledge of libraries such as NumPy, Pandas, Scikit-learn, TensorFlow, PyTorch, and Keras.</li><li>Strong understanding of data preprocessing, model selection, feature engineering, and evaluation metrics.</li><li>Experience with SQL and NoSQL databases (MySQL, MongoDB, PostgreSQL, etc.).</li><li>Hands-on experience with cloud-based AI/ML services (AWS Sagemaker, Azure ML, GCP AI Platform).</li><li>Familiarity with DevOps/MLOps tools (Docker, Kubernetes, MLflow, or Kubeflow) for scalable deployment.</li><li>Good grasp of statistics, probability, linear algebra, and data visualization tools (Matplotlib, Seaborn, Power BI).</li><li>Knowledge of Natural Language Processing (NLP), Computer Vision, or Generative AI is a strong plus.</li><li>Excellent problem-solving, analytical, and collaboration 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>AI ML: 4 years (Required)</li></ul>

AI ML Engineer

National Bank of Oman

<div>
 
 
 Job Purpose
 
 
 
 Manage the teams of Databases &amp; ETL within NBO to ensure Integrity, Security, Availability and performance. Dynamically provide L2 infrastructure support for database related to initiatives. Efficiently manage operational activities, Initiatives, Compliance mandates, Security guidelines on all designed activities including installation of software, upgrades, code deployment, Database Checklists, Security initiatives, ETL tasks related to SAP DI and related applications.
 
 
 
 
 
 
 Key Tasks and Duties
 
 
 
 
 
 
 
 Database Administration: Oracle, MSSQL, MySQL, MongoDB, Postgres
 
 
 <ul>
 <li>
 Manage all database configurations including installing and upgrading DBMS software servers and application tools, ensuring that version and change control procedures are observed, applying fixes, maintaining overall health of databases, ETL and other related applications.
 </li>
 <li>
 Monitor database activity and ensure efficient access to data, and sufficient allocated resources. Undertakes regular exercises to optimize database performance using daily check list and pattern of effort.
 </li>
 <li>
 Maintain databases in accordance with database and system security policies. Ensures compliance with NBO Trust Domain standard and NBO IT Security Policy.
 </li>
 <li>
 Ensure database services meeting RPO and RTO of business. Plan for backup and recovery of database, planning and managing exercises to prove recovery procedures.
 </li>
 <li>
 Through problem management process, database problems are investigated, diagnosed and resolved.
 </li>
 <li>
 Manage the project initiatives efficiently and effectively
 </li>
 <li>
 Implement cost-effective solutions for databases including big databases.
 </li>
 <li>
 Optimize database performance through periodic re-org activity on database &amp; automate reoccurring activities in available tools. Prevent or minimize recurrence of database issues.
 </li>
 <li>
 Forecast DB growth
 </li>
 <li>
 First level approval for production schema changes
 </li>
 <li>
 First level approval changes to DB design
 </li>
 <li>
 Design and Implement backup and recovery for databases
 </li>
 <li>
 Implement DB failover technology
 </li>
 <li>
 Predict future DB trends for H/W usage &amp; user load.
 </li>
 </ul>
 
 
 
 
 
 Data Management: ETL (Extract, Transform, Load) &amp; Data consolidation/movement &ndash;Data Integrator
 
 
 <ul>
 <li>
 Explore ETL solution
 
 data integrator (DI)
 
 for BI related tasks, identify the different application and implement data transfer through DI
 </li>
 <li>
 Plan, design, implement and load data across platforms and across applications formulating a workflow and improve performance and comply with audit requirements
 </li>
 <li>
 Manage the various jobs and schedule to provide business related MIS data on time and adhere to service levels accordingly
 </li>
 <li>
 Manage the backup and recovery mechanism and time to time version upgrade of the DI server.
 </li>
 </ul>
 
 
 
 
 
 Process &amp; Procedure
 
 
 <ul>
 <li>
 Track &amp; Document tasks especially long tasks and project activities. Build a knowledge base of regular tasks, potential issues etc.
 </li>
 <li>
 Capture best practices, draft QMS processes optimize organizational effectiveness.
 </li>
 <li>
 Align with line-manager to meet the objective of the organizational expectation.
 </li>
 <li>
 Have regular communication with supervisors &amp; other team members
 </li>
 </ul>
 
 
 
 
 
 Qualifications
 
 
 
 Bachelor degree in Computer Science or a related subject plus the relevant current certifications for a qualified Database administrator.
 
 
 
 
 
 
 Experience
 
 
 
 At least 10 years&rsquo; experience in database management and RDBMS architecture with in depth experience in Unix admin and scripting required for database administration. In addition, good experience in used Data warehousing concepts in analyzing and ETL technologies.
 
</div>

Manager – IT Database Management

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

Explore 105+ Data modeler in Muscat Oman this November. Find roles across top companies and apply now to boost your career.