3d modeller, visualizer (architect) Jobs in Muscat

3d modeller, visualizer (architect)

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

3d modeller, visualizer (interior design)

big data engineer

data modelling engineer

etl developer

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

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

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

<div>
 
 
 Location:
 
 Muscat, Oman
 
 
 
 Working Days:
 
 Sunday to Thursday
 
 
 
 Experience:
 
 6+ Years
 
 
 
 Notice Period:
 
 Immediate joiners preferred (up to 30 days acceptable)
 
 
 
 
 
 We are hiring an experienced Data Engineer to lead and manage end-to-end ETL pipelines, including Informatica Development (DEI, CDC), modern API development, and cloud-native data engineering.
 
 
 
 
 Key Responsibilities
 <ul>
 <li>
 Design, develop, and optimize ETL/ELT workflows using Informatica (DEI, CDC).
 </li>
 <li>
 Build APIs for data ingestion, integration, and orchestration.
 </li>
 <li>
 Deploy, operate, and tune data pipelines on Azure or AWS with a focus on performance, cost, and reliability.
 </li>
 <li>
 Create reusable mappings, workflows, and parameterized jobs; implement CDC-driven incremental loads.
 </li>
 <li>
 Ensure strong monitoring, alerting, logging, and error handling across all data pipelines.
 </li>
 <li>
 Manage data quality validation, reconciliation checks, and metadata handling.
 </li>
 <li>
 Collaborate with platform, application, and analytics teams to deliver secure and scalable data services.
 </li>
 </ul>
 
 
 
 Required Skills
 <ul>
 <li>
 Minimum 6 years of ETL experience with strong expertise in Informatica Development (DEI, CDC).
 </li>
 <li>
 Proven experience in API development (REST/GraphQL), including API security, gateway patterns, and integration with pipeline tools.
 </li>
 <li>
 Strong hands-on cloud expertise (Azure or AWS) covering storage, compute, networking, IAM, and CI/CD.
 </li>
 <li>
 Experience with performance tuning, partitioning, pushdown optimization, scheduling, and orchestration.
 </li>
 <li>
 Solid SQL skills and knowledge of data warehousing concepts.
 </li>
 <li>
 Familiarity with version control (Git) and DevOps practices.
 </li>
 </ul>
 
 
 
 Relocation &amp; Benefits
 
 We ensure a smooth transition and complete employee support:
 
 <ul>
 <li>
 Work visa sponsorship with fast-track processing
 </li>
 <li>
 Comprehensive medical insurance coverage
 </li>
 <li>
 First flight ticket to Muscat
 </li>
 <li>
 Accommodation support for the first week
 
 </li>
 </ul>
 Why Join Us
 <ul>
 <li>
 Competitive compensation aligned with experience
 </li>
 <li>
 Supportive, collaborative, and innovation-driven work environment
 </li>
 </ul>
 
 
 
 
 Interested candidates can apply directly through this post or share their resumes at:
 
 hr@namasys.ai
 
 
</div>

ETL Developer

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

Norconsult Telematics

<div>
 
 Posting Location: Muscat, Oman
 
 
 
 
 
 
 Position Objectives:
 
 
 <ul>
 <li>
 Assess the organization&rsquo;s AI readiness and conduct comprehensive maturity evaluations.
 </li>
 <li>
 Identify and prioritize applied AI/ML opportunities across key business domains.
 </li>
 <li>
 Translate organizational challenges into actionable and data-driven AI strategies.
 </li>
 <li>
 Support feasibility studies, ROI analysis, and pilot-level evaluations for AI use cases.
 </li>
 <li>
 Provide insights that guide the development of an enterprise-wide AI adoption roadmap.
 </li>
 <li>
 Strengthen AI governance, ethics, and responsible AI foundations within the organization.
 </li>
 <li>
 Collaborate with cross-functional teams to align AI initiatives with strategic objectives.
 </li>
 <li>
 Facilitate knowledge transfer and ensure clear communication of AI concepts to stakeholders.
 </li>
 </ul>
 
 
 
 
 
 Job Description &amp; Responsibilities:
 
 
 <ul>
 <li>
 Conduct AI readiness and maturity assessments covering data, infrastructure, governance, and talent.
 </li>
 <li>
 Identify, analyze, and prioritize applied AI/ML opportunities across organizational functions.
 </li>
 <li>
 Translate business challenges into feasible AI use cases with measurable value and clear outcomes.
 </li>
 <li>
 Perform preliminary research, feasibility studies, and ROI assessments for proposed AI initiatives.
 </li>
 <li>
 Support the design of AI opportunity scoring models and prioritization frameworks.
 </li>
 <li>
 Prepare detailed reports, presentations, and recommendations for leadership and stakeholder review.
 </li>
 <li>
 Work with cross-functional teams to validate use cases and guide early-stage prototyping or pilot evaluations.
 </li>
 <li>
 Advise on AI governance, responsible AI principles, and compliance considerations.
 </li>
 <li>
 Provide conceptual guidance on data preparation, feature analysis, and model evaluation steps.
 </li>
 <li>
 Monitor emerging AI trends&mdash;including GenAI, Agentic AI, and multimodal AI&mdash;to inform strategic decisions.
 </li>
 <li>
 Contribute to the development of the organizational AI roadmap and transformation plans.
 </li>
 <li>
 Engage stakeholders to ensure alignment, clarity, and buy-in on AI initiatives.
 </li>
 <li>
 Support knowledge transfer, capacity building, and AI awareness programs within the organization.
 </li>
 </ul>
 
 
 
 
 
 Qualification &amp; Experience:
 
 
 <ul>
 <li>
 Bachelor&rsquo;s or Master&rsquo;s degree in Computer Science, Artificial Intelligence, Data Science, or a related field.
 </li>
 <li>
 Minimum 6+ years of experience in AI/ML analysis, strategy, consulting, or advisory roles.
 </li>
 <li>
 Proven experience in identifying, evaluating, and prioritizing AI/ML use cases across business domains.
 </li>
 <li>
 Exposure to digital transformation programs with a focus on AI, data, or analytics components.
 </li>
 <li>
 Familiarity with Responsible AI principles, ethical AI frameworks, and data governance practices.
 </li>
 <li>
 Conceptual understanding of data preparation, feature engineering, and model evaluation methodologies.
 </li>
 <li>
 Ability to conduct feasibility studies and assess ROI for applied AI initiatives.
 </li>
 <li>
 Strong analytical, documentation, and presentation skills for communicating insights to stakeholders.
 </li>
 <li>
 Certifications in AI/ML, Data Science, Cloud AI, or Responsible AI (AWS, Azure, Google, Coursera, etc.).
 </li>
 <li>
 Participation in workshops or training programs related to AI strategy, governance, or ethics.
 </li>
 <li>
 Excellent command of English is mandatory, while knowledge of Arabic is considered an advantage.
 </li>
 </ul>
</div>

Domain Specialist (AI/ML)

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