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application support analyst Jobs in Giza Egypt

application support analyst

system engineer

data support engineer

Advansys

Advansys is a dynamic solutions provider focused on delivering smart, modular, and sustainable technology solutions that enhance operations, improve customer experiences, and drive business modernization. With over 400 skilled engineers, we serve 100+ enterprise customers across 14 countries. Specialized in a wide array of premium services including Business Automation, Industrial Digitization, Low code Development, Cloud Services, Warehouse Automation & Strategic Outsourcing.
 
Founded in 2014, Advansys is part of the INTRO Group, a private conglomerate established in 1980 with diverse investments across different business areas, oil and gas, real estate, specialized engineering, financial investment, Food & manufacturing.
 
We are looking for an experienced RAID Support Engineer who will be responsible for maintaining and troubleshooting our data management systems. In this role, you will provide support for complex SQL & PL/SQL issues, help with the performance tuning of Apache Spark jobs, monitor and manage Hive DB, and assist with Python-based automation and scripting. You will work closely with internal teams to ensure system availability, reliability, and optimal performance.
 
Job description: 
<ul>
<li>Provide technical support for RAID-related systems, resolving issues related to SQL & PL/SQL queries, Hive DB, Apache Spark jobs, and Python automation.</li>
<li>Monitor system performance and proactively identify areas for optimization in data pipelines, SQL queries, and Spark jobs.</li>
<li>Troubleshoot issues related to data systems, including Spark jobs, Hive DB, and SQL/PLSQL processes, ensuring minimal downtime.</li>
<li>Work with the development and data engineering teams to implement bug fixes, performance enhancements, and system upgrades.</li>
<li>Perform root cause analysis for recurring issues and implement long-term solutions.</li>
<li>Support data integrations, ETL processes, and workflows, ensuring they run efficiently across systems.</li>
<li>Assist in the automation of common support tasks using Python scripting and SQL automation.</li>
<li>Manage and troubleshoot issues with distributed data processing platforms like Apache Spark, ensuring data jobs are running as expected.</li>
<li>Document incidents, troubleshooting steps, and solutions to create knowledge base articles for internal teams.</li>
<li>Collaborate with cross-functional teams including Data Engineers, Analysts, and Developers to provide timely and effective support.</li>
<li>Assist with deployments and system upgrades, ensuring minimal disruption to ongoing operations.</li>
</ul>
Requirements: 
<ul>
<li>Mandatory Technical Skills:</li>
<li>SQL (Very Good): Strong ability to write complex queries, troubleshoot data issues, and optimize database performance.</li>
<li>Linux (Good): Comfortable with shell commands, log analysis, and process management.</li>
<li>Additional / Nice-to-Have Skills:</li>
<li>HIVE: Understanding of querying big data environments.</li>
<li>XML: Ability to parse and handle XML data formats.</li>
<li>Python: Basic scripting for automation or data handling.</li>
<li>Non-Technical Skills:</li>
<li>Excellent communication (oral and written).</li>
<li>Strong analytical and problem-solving skills.</li>
</ul>
Benefits: 
<ul>
<li>Hybrid working model</li>
<li>Social and medical insurance</li>
<li>Transportation</li>
</ul>

Data Support Engineer

Advansys ME

Advansys is a dynamic solutions provider focused on delivering smart, modular, and sustainable technology solutions that enhance operations, improve customer experiences, and drive business modernization. With over 400 skilled engineers, we serve 100+ enterprise customers across 14 countries. Specialized in a wide array of premium services including Business Automation, Industrial Digitization, Low code Development, Cloud Services, Warehouse Automation & Strategic Outsourcing.
 
Founded in 2014, Advansys is part of the INTRO Group, a private conglomerate established in 1980 with diverse investments across different business areas, oil and gas, real estate, specialized engineering, financial investment, Food & manufacturing.
 
We are looking for an experienced RAID Support Engineer who will be responsible for maintaining and troubleshooting our data management systems. In this role, you will provide support for complex SQL & PL/SQL issues, help with the performance tuning of Apache Spark jobs, monitor and manage Hive DB, and assist with Python-based automation and scripting. You will work closely with internal teams to ensure system availability, reliability, and optimal performance.
 
Job description: 
Provide technical support for RAID-related systems, resolving issues related to SQL & PL/SQL queries, Hive DB, Apache Spark jobs, and Python automation.
 Monitor system performance and proactively identify areas for optimization in data pipelines, SQL queries, and Spark jobs.
 Troubleshoot issues related to data systems, including Spark jobs, Hive DB, and SQL/PLSQL processes, ensuring minimal downtime.
 Work with the development and data engineering teams to implement bug fixes, performance enhancements, and system upgrades.
 Perform root cause analysis for recurring issues and implement long-term solutions.
 Support data integrations, ETL processes, and workflows, ensuring they run efficiently across systems.
 Assist in the automation of common support tasks using Python scripting and SQL automation.
 Manage and troubleshoot issues with distributed data processing platforms like Apache Spark, ensuring data jobs are running as expected.
 Document incidents, troubleshooting steps, and solutions to create knowledge base articles for internal teams.
 Collaborate with cross-functional teams including Data Engineers, Analysts, and Developers to provide timely and effective support.
 Assist with deployments and system upgrades, ensuring minimal disruption to ongoing operations.
 Requirements
 
Mandatory Technical Skills: 
SQL (Very Good): Strong ability to write complex queries, troubleshoot data issues, and optimize database performance.
 Linux (Good): Comfortable with shell commands, log analysis, and process management.
 
Additional / Nice-to-Have Skills: 
HIVE: Understanding of querying big data environments.
 XML: Ability to parse and handle XML data formats.
 Python: Basic scripting for automation or data handling.
 
Non-Technical Skills: 
Excellent communication (oral and written).
 Strong analytical and problem-solving skills.
 Benefits
 Hybrid working model
 Social and medical insurance
 Transportation

Appgain

APPGAIN is seeking an innovative and experienced AI Engineer to join our dynamic team. As an AI Engineer, you will be instrumental in designing, developing, and deploying cutting-edge artificial intelligence and machine learning solutions that address complex business challenges. You will work at the intersection of data science, software engineering, and operations to bring AI models from research to production.Responsibilities:<ul><li>Design, develop, and implement scalable AI models and algorithms using machine learning and deep learning techniques.</li><li>Build and manage robust AI development and production infrastructure, including data pipelines and MLOps workflows.</li><li>Collaborate with data scientists, product managers, and other stakeholders to translate business requirements into AI-driven solutions.</li><li>Integrate AI models into existing software systems and applications, ensuring seamless functionality and performance.</li><li>Conduct statistical analysis and interpret results to optimize AI models and guide decision-making.</li><li>Perform model testing, validation, and debugging to ensure accuracy, reliability, and efficiency.</li><li>Monitor and maintain deployed AI systems, identifying and resolving issues, and continuously optimizing performance.</li><li>Stay up-to-date with the latest advancements in AI research, technologies, and industry best practices.</li><li>Contribute to the adoption of AI best practices across teams and promote a data-driven culture.</li><li>Document machine learning processes, models, and solutions thoroughly.</li></ul>Qualifications:<ul><li>Bachelor's degree in Computer Science, Artificial Intelligence, Data Science, Engineering, or a related quantitative field.</li><li>Proven experience as an AI Engineer, Machine Learning Engineer, or a similar role, with a strong portfolio of deployed AI solutions.</li><li>Proficiency in programming languages commonly used in AI, such as Python (with libraries like TensorFlow, PyTorch, Keras) or Java.</li><li>Solid understanding of machine learning algorithms (e.g., supervised, unsupervised, reinforcement learning) and deep learning neural networks.</li><li>Experience with big data technologies (e.g., Apache Spark, Hadoop, MongoDB) and data processing techniques.</li><li>Strong knowledge of SQL and experience with database modeling and management.</li><li>Familiarity with cloud platforms (e.g., AWS, Azure, Google Cloud) and their AI/ML services.</li><li>Excellent problem-solving, analytical, and critical thinking skills.</li><li>Strong communication and interpersonal skills, with the ability to explain complex technical concepts to non-technical stakeholders.</li><li>Ability to work effectively in an agile, fast-paced, and collaborative environment.</li><li>Experience with Natural Language Processing (NLP), Computer Vision, or Reinforcement Learning.</li><li>Knowledge of MLOps tools and practices (e.g., MLflow, Kubeflow, Docker, Kubernetes).</li><li>Experience with prompt engineering for Large Language Models (LLMs).</li><li>Familiarity with software design patterns and principles.</li><li>Contributions to open-source AI projects or relevant publications.</li></ul>Job Type: full time on siteJob Type: Full-timeEducation:<ul><li>Bachelor's (Preferred)</li></ul>Experience:<ul><li>AI Engineer: 3 years (Preferred)</li><li>machine learning algorithms : 3 years (Preferred)</li><li>big data technologies : 3 years (Preferred)</li></ul>

AI Engineer

Travco Properties

<div>
 
 Job Summary:
 
 
 
 We are seeking a Senior System Engineer with ERP experience to oversee the implementation of Zoho, manage backend operations, and ensure seamless integration across business departments. The ideal candidate will coordinate with vendors, validate workflows, and provide ongoing system support to optimize performance and efficiency.
 
 
 
 
 
 Key Responsibilities:
 
 
 
 <ul>
 <li>
 
 Coordinate daily with the Zoho implementation partner to track progress, resolve issues, and ensure timely delivery of project milestones.
 
 
 </li>
 <li>
 
 Collaborate with business departments (Finance, Sales, CRM, Projects, Procurement, etc.) to gather, analyze, and validate system requirements.
 
 
 </li>
 <li>
 
 Review and validate workflows, automations, blueprints, and custom functions developed by the vendor.
 
 
 </li>
 <li>
 
 Manage system configurations, user roles, permissions, and data access policies.
 
 
 </li>
 <li>
 
 Monitor system performance, ensure uptime, and identify optimization opportunities.
 
 
 </li>
 <li>
 
 Follow up on support tickets with the vendor and ensure timely resolution.
 
 
 </li>
 <li>
 
 Conduct User Acceptance Testing (UAT) and validate system modules prior to go-live.
 
 
 </li>
 <li>
 
 Assist in data migration, cleanup, and validation activities.
 
 
 </li>
 <li>
 
 Create technical documentation and user guides for internal stakeholders.
 
 
 </li>
 <li>
 
 Deliver training and support to users across departments.
 
 
 </li>
 <li>
 
 Coordinate post-implementation support and manage change requests with the vendor.
 
 
 </li>
 <li>
 
 Ensure ERP processes align with company policies, procedures, and workflow standards.
 
 
 
 
 
 </li>
 </ul>
 Requirements
 
 
 <li>
 
 Bachelor&rsquo;s degree in Computer Science, Information Systems, or a related field.
 
 
 </li>
 <li>
 
 Minimum 3 years of experience with ERP systems (Zoho preferred, or similar platforms such as Odoo, SAP, Oracle, Dynamics).
 
 
 </li>
 <li>
 
 Strong understanding of business processes including Finance, HR, Procurement, and Projects.
 
 
 </li>
 <li>
 
 Excellent analytical, problem-solving, and coordination skills.
 
 
 </li>
 <li>
 
 Strong communication and documentation skills.
 
 
 </li>
 <li>
 
 Ability to manage multiple priorities and deadlines effectively.
 
 
 </li>
</div>

Senior System Engineer – ERP

ElSewedy Engineering Industries SEI

<div>
 The Quantity Surveyor (QS) Engineer is responsible for managing all cost estimation, quantity take-offs, and financial aspects of MEP and infrastructure projects. The role ensures accurate project budgeting, cost control, and compliance with contractual and financial requirements. The QS Engineer works closely with the technical office, procurement, and site teams to provide reliable data for decision-making and maintain profitability throughout the project lifecycle.
 
 
 
 Responsibilities
 
 
 
 <ul>
 <li>
 Prepare detailed quantity take-offs from drawings and specifications for all project disciplines (civil, electrical, and mechanical).
 </li>
 <li>
 Prepare cost estimates, bills of quantities (BOQs), and tender documents.
 </li>
 <li>
 Analyze project drawings, specifications, and contracts to identify cost-related risks and opportunities.
 </li>
 <li>
 Review subcontractor and supplier quotations, ensuring compliance with project requirements and cost-effectiveness.
 </li>
 <li>
 Evaluate and certify subcontractor progress claims and invoices.
 </li>
 <li>
 Prepare monthly cost reports, cash flow forecasts, and project cost summaries.
 </li>
 <li>
 Monitor material consumption and compare it against approved budgets and BOQs.
 </li>
 <li>
 Support in preparing variation orders and claims documentation.
 </li>
 <li>
 Coordinate with procurement for cost control and budgeting of materials and services.
 </li>
 <li>
 Ensure that all cost control and QS activities are in line with the company&rsquo;s policies and project financial targets.
 
 
 </li>
 </ul>
 
 Requirements
 
 
 
 <ul>
 <li>
 Bachelor&rsquo;s Degree in Civil, Electrical, or Mechanical Engineering.
 </li>
 <li>
 3&ndash;7 years of experience as a Quantity Surveyor in MEP and/or infrastructure projects.
 </li>
 <li>
 Strong knowledge of BOQ preparation, cost estimation, and contractual procedures.
 </li>
 <li>
 Proficiency in AutoCAD, Excel (advanced), and quantity surveying software.
 </li>
 <li>
 Strong attention to detail and accuracy in cost reporting.
 </li>
 <li>
 Work Locations: October - Badr
 
 
 </li>
 </ul>
 
 Benefits
 
 
 
 <ul>
 <li>
 Competitive Salary
 </li>
 <li>
 Annual Bounce
 </li>
 <li>
 Accommodation is provided
 </li>
 </ul>
</div>

Quantity Surveyor Engineer

Orange

<div><div>Purpose of the job
This role is for a technical Engineer responsible for overseeing indoor and outdoor Quality of Service (QoS) benchmarking campaigns for Voice, VoLTE, and Data services across 2G/3G/4G/5G technologies. You will lead the analysis of network performance Measurements to evaluate customer experience, identify quality issues, and assess our competitive positioning. The purpose is to generate clear, actionable insights that drive proactive network improvements and ensure superior service quality.
Duties and responsibilities
<ul><li>Conduct in-depth analysis of benchmarking results (Voice/VoLTE/Data) and generate comprehensive reports on KPIs (e.g., call quality, dropped calls, data throughput) for management.</li><li>
Continuously monitor Access Network performance using KPIs, counters, and field measurement tools (e.g., geolocation data); track chronic issues to resolution.</li><li>
Provide first-line technical support to field teams during drive tests, including tool troubleshooting and configuration.</li><li>
Initiate and lead initiatives aimed at enhancing network QoS and overall customer experience.</li><li>
Calibrate and optimize measurement tools for accuracy. Develop and implement in-house scripts and tools to automate analysis and improve reporting efficiency.</li><li>
Perform advanced analysis using packet captures (PCAP), L3 messaging, and signaling flows to identify network bottlenecks and recommend solutions.</li><li>
Mentor and coach junior team members, identifying skill gaps and supporting their professional development.</li><li>
Lead Proof-of-Concepts (POCs) for new benchmarking tools and technologies from suppliers. Responsible for Service Management systems deployments:</li><li>
Apply knowledge across radio, core, BSS, and transmission domains to provide end-to-end issue resolution.</li><li>
Take full ownership of all assigned tasks and responsibilities within the designated project scopes.</li></ul>
Job specification
Education
<ul><li>Bachelors degree in Communications/Electronics Engineering or a related field.</li></ul>
Experience<ul><li>
Minimum of 2 years of experience in telecommunications, specifically in QoS benchmarking, network validation, or optimization.</li><li>
Proficiency with tools such as TEMS Investigation and MapInfo.</li><li>
Strong understanding of 2G, 3G, 4G, and 5G technologies, VoLTE, and related signaling flows.</li><li>
Experience with drive test data analysis and performance reporting.</li></ul>
<ul><li>Experience with KPI analysis, optimization features, and parameter tuning.</li><li>
Hands-on experience with NEMO field tools and NEMO Analyzer.</li><li>
Knowledge of Core Network and Transmission domains.</li><li>
Programming/Scripting skills for automation (e.g., SQL, Python).</li><li>
Experience with data visualization tools like Tableau or Power BI.</li></ul>
</div><div></div><div><h2 class="jobSectionHeader">Contrat
</h2><div>CDI</div></div></div>

Supervisor, QoS Benchmarking Projects & Network validations

اورنچ مصر

<div>About the job Supervisor, QoS Benchmarking Projects &amp; Network validations
<div>Purpose of the job

This role is for a technical Engineer responsible for overseeing indoor and outdoor Quality of Service (QoS) benchmarking campaigns for Voice, VoLTE, and Data services across 2G/3G/4G/5G technologies. You will lead the analysis of network performance Measurements to evaluate customer experience, identify quality issues, and assess our competitive positioning. The purpose is to generate clear, actionable insights that drive proactive network improvements and ensure superior service quality.

Duties and responsibilities

<ul><li>Conduct in-depth analysis of benchmarking results (Voice/VoLTE/Data) and generate comprehensive reports on KPIs (e.g., call quality, dropped calls, data throughput) for management.</li><li>
Continuously monitor Access Network performance using KPIs, counters, and field measurement tools (e.g., geolocation data); track chronic issues to resolution.</li><li>
Provide first-line technical support to field teams during drive tests, including tool troubleshooting and configuration.</li><li>
Initiate and lead initiatives aimed at enhancing network QoS and overall customer experience.</li><li>
Calibrate and optimize measurement tools for accuracy. Develop and implement in-house scripts and tools to automate analysis and improve reporting efficiency.</li><li>
Perform advanced analysis using packet captures (PCAP), L3 messaging, and signaling flows to identify network bottlenecks and recommend solutions.</li><li>
Mentor and coach junior team members, identifying skill gaps and supporting their professional development.</li><li>
Lead Proof-of-Concepts (POCs) for new benchmarking tools and technologies from suppliers. Responsible for Service Management systems deployments:</li><li>
Apply knowledge across radio, core, BSS, and transmission domains to provide end-to-end issue resolution.</li><li>
Take full ownership of all assigned tasks and responsibilities within the designated project scopes.</li></ul>

Job specification

Education

<ul><li>Bachelors degree in Communications/Electronics Engineering or a related field.</li></ul>

Experience
<ul><li>
Minimum of 2 years of experience in telecommunications, specifically in QoS benchmarking, network validation, or optimization.</li><li>
Proficiency with tools such as TEMS Investigation and MapInfo.</li><li>
Strong understanding of 2G, 3G, 4G, and 5G technologies, VoLTE, and related signaling flows.</li><li>
Experience with drive test data analysis and performance reporting.</li></ul>

<ul><li>Experience with KPI analysis, optimization features, and parameter tuning.</li><li>
Hands-on experience with NEMO field tools and NEMO Analyzer.</li><li>
Knowledge of Core Network and Transmission domains.</li><li>
Programming/Scripting skills for automation (e.g., SQL, Python).</li><li>
Experience with data visualization tools like Tableau or Power BI.</li></ul></div></div>

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187 data support engineer jobs IN Giza Egypt

Data Support Engineer

Data Support Engineer

AI Engineer

Senior System Engineer – ERP

Quantity Surveyor Engineer

Supervisor, QoS Benchmarking Projects & Network validations

Supervisor, QoS Benchmarking Projects & Network validations