accountant – accounts receivable (junior)

data analyst

data engineer

data scientist

research executive

senior data scientist

senior data analyst

Amazon

<div>
 
 Description
 
 
 
 Amazon is a highly data driven company highly obsessive about metrics. The Data analysts play a crucial role in creating unique reports from data available in multiple locations and providing vital insights into the root cause of quality defects and inventory adjustments. ICQA Data Analyst will work closely with the ICQA, Learning and Finance departments to provide data and analytical support for the business.
 
 
 Key job responsibilities
 
 
 <ul>
 <li>
 Development of data collection processes and data management systems
 </li>
 <li>
 Designing of queries, compiling of data, and generation of reports in SQL
 </li>
 <li>
 Charting and graphing of data for reporting purposes
 </li>
 <li>
 Developing dashboard (Amazon Quicksight) to support business decision making and dive deep activities
 </li>
 <li>
 Develop automation solution for analysis (python)
 </li>
 <li>
 Prepare and publish reports for business reviews (Weekly Business Review, Quarterly Business Review, Project Updates)
 </li>
 <li>
 Supporting leadership team how to interpret data trends as needed
 </li>
 <li>
 In depth research of defect trends
 </li>
 <li>
 Present analysis in easily digestible standard reports
 </li>
 <li>
 Support to ICQA &amp; Learning Team Projects
 
 
 </li>
 </ul>
 
 Basic Qualifications
 
 
 
 <ul>
 <li>
 Experience that includes strong analytical skills, attention to detail, and effective communication abilities
 </li>
 <li>
 Experience communicating clearly and effectively with different functional groups including senior business leaders, finance, HR and developers
 </li>
 <li>
 Experience managing and executing large projects from start to finish, including project management, data gathering and modeling, problem solving, and communicating recommendations
 </li>
 <li>
 Experience translating customer needs into business requirements
 </li>
 <li>
 Experience with AWS technologies like Redshift, S3, AWS Glue, EMR, Kinesis, FireHose, Lambda, and IAM roles and permissions
 
 
 </li>
 </ul>
 
 Preferred Qualifications
 
 
 
 <ul>
 <li>
 Experience with training and deploying machine learning systems to solve large-scale optimizations, or experience in development or technical support
 
 
 </li>
 </ul>
 Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you&rsquo;re applying in isn&rsquo;t listed, please contact your Recruiting Partner.
 
 
 
 
 Company
 
 - Souq.com for E-Commerce LLC
 
 
 Job ID: A3176702
</div>

Data Analyst, AMET Central Data Analytics team

Arrow Electronics

<div>
 
 Position
 
 
 
 Data Scientist / Senior Machine Learning Engineer
 
 
 
 Job Description
 
 
 
 
 Position Overview:
 
 
 
 As Data Scientist / Senior Machine Learning Engineer at Arrow Electronics, you will assume a pivotal role in driving our data science and machine learning initiatives to reach unprecedented heights. Collaborating closely with cross-functional multinational teams, your responsibilities will encompass the end-to-end machine learning lifecycle, including stakeholder communications, data analysis, designing, development, deployment, and optimization of cutting-edge models aimed at addressing intricate challenges and generating actionable insights. Your expertise in data analysis, model development, and deployment will be crucial in shaping the future of our company.
 
 
 
 Key Responsibilities
 
 
 
 <ul>
 <li>
 Machine Learning Model Development: Design, develop, and implement advanced machine learning models and algorithms to solve real-world problems in various domains.
 </li>
 <li>
 Data Analysis: Explore and analyze large datasets to extract meaningful insights and identify trends, anomalies, and patterns.
 </li>
 <li>
 Model Evaluation: Evaluate the performance of machine learning models using appropriate metrics and fine-tune models for optimal results.
 </li>
 <li>
 Deployment: Lead the deployment of machine learning models into production environments and ensure scalability and efficiency.
 </li>
 <li>
 Cross-functional Collaboration: Collaborate closely with business stakeholders, software engineers, data engineers, and domain experts to integrate machine learning solutions into our products and services.
 </li>
 <li>
 Mentorship: Provide guidance and mentorship to junior data scientists and machine learning engineers, fostering a culture of continuous learning and growth.
 </li>
 <li>
 Research and Innovation: Stay up-to-date with the latest advancements in the field of data science and machine learning and apply innovative techniques to solve complex challenges.
 
 
 </li>
 </ul>
 
 Qualifications
 
 
 
 <ul>
 <li>
 Proven experience (2 to 5 years) in developing and deploying machine learning models in a production environment.
 </li>
 <li>
 Proficiency in programming languages, especially Python, and experience with data-related libraries such as pandas, matplotlib, NumPy, etc.
 </li>
 <li>
 Strong knowledge of machine learning frameworks and libraries.
 </li>
 <li>
 Expertise in data preprocessing, feature engineering, and model selection.
 </li>
 <li>
 Familiarity with large language models and AI agent design.
 </li>
 <li>
 Experience with text-based NLP, information extraction, entity recognition, and text-related data science tasks is highly desirable.
 </li>
 <li>
 Strong communication skills and the ability to convey technical concepts to non-technical stakeholders.
 </li>
 <li>
 Experience with vectorized databases and unstructured search engines is a plus.
 </li>
 <li>
 A Master&rsquo;s degree in computer science, Statistics, Data Science, or a related field is a plus.
 </li>
 <li>
 Publications or contributions to open-source projects are a plus.
 
 
 </li>
 </ul>
 If you are a passionate and experienced Data Scientist / Senior Machine Learning Engineer who thrives on solving challenging problems and wants to make a significant impact in the field, we encourage you to apply and join our dynamic team at Arrow Electronics Together, we will drive innovation and shape the future of data science and machine learning.
 
 
 
 Location:
 
 
 
 EG-Cairo, Egypt (Al Emdad &amp; Al Tamween)
 
 
 
 Time Type
 
 
 
 Full time
 
 
 
 Job Category
 
 
 
 Information Technology
</div>

Data Scientist / Senior Machine Learning Engineer

<div>
 
 About The Role &amp; Team
 
 
 
 In this role, you will have the opportunity to work on several of
 
 IDC's vertical industry-focused Spending Guide data products, developing industry, company size, use case, and line of business forecasts across a broad range of technology markets
 
 . You will be responsible for conducting comprehensive industry sector research, mapping tech buyer use cases, analyzing data, and providing actionable insights to support our clients' business strategies. Having familiarity with or expertise in the overall ICT, software, and cloud technology markets in Middle East and Africa will be advantageous for this role.
 
 
 The ideal candidate has a proactive mindset, strong quantitative, data modelling, and analytical skills, as well as the ability to use automation tools to improve and streamline internal data processes. He or she should demonstrate the ability to interpret complex data, identify patterns, and draw meaningful insights by evaluating data from various sources, making sense of quantitative and qualitative information.
 
 
 
 What You&rsquo;ll Do
 
 
 
 <ul>
 <li>
 Analyze survey data and conduct secondary market research on selected industry sectors - financial services, manufacturing, telecommunications, energy, healthcare, and public sector - along with technology solutions and geography specific trends to build a deeper understanding of the key factors shaping overall markets and technology adoption patterns.
 </li>
 <li>
 Monitor key macroeconomic indicators such as GDP, inflation rates, unemployment rates, interest rates, and exchange rates and assessing its potential impact on various industry sectors. As well as assess the impact of fiscal and monetary policies on industry sectors and technology adoption trends.
 </li>
 <li>
 Ensure the timely and accurate delivery of all program deliverables.
 </li>
 <li>
 Prepare detailed reports and presentations to communicate findings to stakeholders.
 </li>
 <li>
 Develop industry sector forecasts and predictive models by utilizing statistical methods and tools to anticipate future trends of different verticals and tech buyer behavior.
 </li>
 <li>
 Maintain and update databases with relevant market data and research findings.
 </li>
 <li>
 Collaborate with cross-functional teams to develop customized Vertical and Segments and market models. Including the consulting team to support custom projects when required.
 
 
 </li>
 </ul>
 
 What You Bring
 
 
 
 <ul>
 <li>
 2+ years of market research experience
 </li>
 <li>
 Bachelor's degree or equivalent experience in Economics or Statistics or STEM subjects (i.e., Science, Technology, Engineering, Mathematics) with a strong understanding of economic principles and their application to market analysis.
 </li>
 <li>
 Skilled in analyzing complex datasets and developing predictive models, with familiarity in statistical tools and methodologies.
 </li>
 <li>
 High level of accuracy and attention to detail in data analysis and report preparation.
 </li>
 <li>
 Strong English written and verbal communication skills to effectively present.
 </li>
 <li>
 Efficient in managing multiple research projects and meeting deadlines. Excellent in problem-solving.
 </li>
 <li>
 Advanced Microsoft Excel, PowerPoint and Power BI skills required.
 </li>
 <li>
 Familiarity with GenAI tools such as Microsoft Copilot, OpenAI, or Gemini.
 </li>
 <li>
 The ability to use Python for data analysis, including libraries such as Pandas, NumPy, SciPy and Plotly are advantageous.
 
 
 </li>
 </ul>
 
 Why This Role Stands Out
 
 
 
 At IDC, your work helps shape how the world understands technology and where it goes next. You collaborate with curious, high-caliber colleagues who value rigor, integrity, and shared success. As the premier global provider of trusted technology intelligence, IDC equips business and technology leaders with the evidence they need to make confident decisions. Our insights inform strategy, investment, and innovation across industries and regions.
 
 
 Recognized by IIAR as Analyst Firm of the Year for five consecutive years, IDC sets the standard for credibility and impact. With more than 1,000 analysts worldwide and a truly global perspective, we combine deep expertise with practical relevance. Here, your ideas matter, your voice is heard, and your contributions provide the insights leaders rely on every day. It is meaningful work, backed by a culture that supports growth, collaboration, and long-term career development with a globally respected brand.
 
 
 
 What We Offer
 
 
 
 <ul>
 <li>
 A permanent, full-time position with a hybrid working module
 </li>
 <li>
 A benefit package to complete your salary
 </li>
 <li>
 Individualized Culture: An environment where you can explore new areas outside your specialty and stay engaged with work you enjoy.
 </li>
 <li>
 A position in a highly professional and globally respected market research and advisory firm, where initiative leading to results is rewarded
 
 
 </li>
 </ul>
 
 Equal Opportunity Employer
 
 
 
 IDC is committed to providing equal employment opportunities for all qualified persons. Employment eligibility verification required. We participate in E-Verify.
 
 
</div>

Data Analyst

Integrant, Inc.

<div>
 
 We Are Hiring!
 
 
 Integrant is looking for game changers to join our team as "Senior Data Scientist" with below roles and responsibilities:
 
 
 
 
 <ul>
 <li>
 Use mathematics, statistics and computer science to extract knowledge and insights from structured, semi-structured and unstructured data in order to assist our clientele to make better data driven decisions.
 </li>
 <li>
 Conduct open research when necessary to develop new algorithms and methods to address specific needs a client might have to which no known algorithms or methods could suffice as a solution.
 </li>
 <li>
 Engage in activities of requirement elicitation with our clientele in regards to potential data science workloads.
 </li>
 <li>
 Mentor junior members on the team in data science.
 </li>
 <li>
 Deliver machine learning models to clients and contribute in knowledge transfer.
 </li>
 </ul>
 
 
 
 
 
 Requirements
 
 
 <ul>
 <li>
 4+ years of experience with Data Science workloads.
 </li>
 <li>
 MSc in Computer Science or other equivalent quantitative field.
 </li>
 <li>
 Familiarity with classification, clustering, regression and association rule mining.
 </li>
 <li>
 Familiarity with one or more standard open source machine learning frameworks (Sklearn, Tensorflow, Keras, etc.).
 </li>
 <li>
 Familiarity with Azure Cognitive Services and Azure ML.
 </li>
 <li>
 Familiarity with AWS SageMaker.
 </li>
 <li>
 Experience with deploying models to production.
 </li>
 <li>
 Experience with monitoring models post production and detecting concept drift.
 </li>
 <li>
 Familiarity with Deep Learning.
 </li>
 <li>
 Extensive experience with Python.
 </li>
 <li>
 Familiarity with conducting open scientific research.
 </li>
 </ul>
 
 
 
 
 
 Nice to Have
 
 
 <ul>
 <li>
 Familiarity with Re-enforcement Learning.
 </li>
 <li>
 Familiarity with Stochastic Local Search Methods.
 </li>
 <li>
 Familiarity with MLOps on Azure.
 </li>
 <li>
 Familiarity with MLOps on AWS.
 </li>
 <li>
 Familiarity with building data pipelines on Azure.
 </li>
 <li>
 Familiarity with building data pipelines on AWS.
 </li>
 <li>
 Familiarity with single and multi-objective optimization techniques
 </li>
 </ul>
 
 
 
 
 
 Benefits
 
 
 <ul>
 <li>
 Salary paid in USD
 </li>
 <li>
 Six-month career advancing opportunities
 </li>
 <li>
 Employee parking space
 </li>
 <li>
 Supportive and friendly work environment
 </li>
 <li>
 Premium medical insurance [employee +family]
 </li>
 <li>
 English language development courses
 </li>
 <li>
 Interest-free loans paid over 2.5 years
 </li>
 <li>
 Technical development courses
 </li>
 <li>
 Planned overtime program (POP)
 </li>
 <li>
 Employment referral program
 </li>
 <li>
 Premium location in Maadi &amp; Nasr City
 </li>
 <li>
 Social insurance
 </li>
 <li>
 Opportunity to travel and work onsite with U.S. customers
 </li>
 <li>
 In-house Technical and English training programs
 </li>
 <li>
 Dedicated learning time (check out our 4Plus1 Program)
 </li>
 <li>
 Flexible work schedules
 </li>
 <li>
 Perks: events, sponsored lunch, game area, rooftop hangout + more!
 </li>
 </ul>
</div>

Senior Data Scientist

Coca-Cola HBC

<div>
 
 
 Department:
 
 Data Insights &amp; Artificial Intelligence, Digital &amp; Technology Platform Services
 
 
 
 
 
 We are looking for a
 
 Senior Data Scientist
 
 who combines strong hands-on expertise with the ability to lead and scale analytics solutions in a complex, multi-market environment. In this role, you will take ownership of delivering advanced analytics solutions, generating actionable insights and driving tangible business impact, with a strong focus in the route-to-market and commercial effectiveness areas. You will work closely with business stakeholders, translating ambiguous problems into scalable data products deployed across 29 markets. Beyond individual contribution, you will play a key role in shaping our data science practices and, over time, lead and mentor a small team of data scientists, ensuring high standards in both technical delivery and business impact. This is a high-impact role suited for someone who can independently drive complex problems end-to-end and balance deep technical execution with evolving leadership responsibilities.
 
 
 
 
 
 
 YOUR NEW KEY RESPONSIBILITIES:
 
 
 <ul>
 <li>
 Collaborate extensively with business stakeholders to deeply understand challenges and identify opportunities.
 </li>
 <li>
 Own the end-to-end delivery of advanced analytics and machine learning solutions, from problem framing to production deployment and continuous improvement, working within Agile/SAFe ways of working.
 </li>
 <li>
 Develop and implement machine learning and statistical models to extract insights, predict trends, and provide actionable recommendations.
 </li>
 <li>
 Analyze large and complex datasets to identify opportunities to enhance existing solutions and develop new ones.
 </li>
 <li>
 Lead the development of proof-of-concept solutions and ensure their scalability across multiple markets.
 </li>
 <li>
 Work closely with cross-functional teams, including data engineers and business experts, to ensure robust, scalable, and production-ready solutions.
 </li>
 <li>
 Proactively identify opportunities to improve existing solutions and propose new data-driven initiatives that deliver measurable business value.
 </li>
 <li>
 Contribute to building and scaling a high-performing data science team, acting as a technical reference point, driving best practices, and supporting the development of other data scientists.
 </li>
 </ul>
 
 
 
 
 
 ARE THESE YOUR SECRET INGREDIENTS?
 
 
 <ul>
 <li>
 5+ years of hands-on experience in data science or advanced analytics roles, with a strong track record of delivering production-grade solutions
 </li>
 <li>
 Strong proficiency in Python and PySpark, with the ability robust, well-structured, and efficient code that balances readability and performance
 </li>
 <li>
 Solid understanding of machine learning, statistical modeling, and experimentation, with the ability to apply the right approach to real-world business problems
 </li>
 <li>
 Experience working with large-scale datasets and distributed data processing, as well as cloud-based data platforms (preferably Azure &amp; Databricks)
 </li>
 <li>
 Proven experience in owning projects end-to-end, from business understanding to deployment and impact measurement
 </li>
 <li>
 Demonstrated ability to build scalable solutions that go beyond one-off analyses or prototypes
 </li>
 <li>
 Strong problem-solving skills, with the ability to identify opportunities to enhance existing solutions and propose new data-driven strategies
 </li>
 <li>
 Ability to manage multiple projects simultaneously, prioritize effectively, and collaborate effectively with other team members and external vendors
 </li>
 <li>
 Ability to balance hands-on technical work with leadership responsibilities, with experience in leading and guiding other data scientists
 </li>
 <li>
 Excellent collaboration, communication and presentation skills, with the ability effectively interact and influence stakeholders, translating technical concepts into analytical approaches and business impact
 </li>
 <li>
 Experience in CPG, retail, or commercial analytics (e.g. route-to-market, assortment) is a strong advantage
 </li>
 <li>
 BSc or MSc, in Computer Science, Data Science, Statistics, Engineering or a related quantitative field
 </li>
 </ul>
 
 
 
 
 
 ABOUT YOUR NEW TEAM:
 
 
 
 We are Coca-Cola Hellenic, a growth-focused consumer goods business and strategic bottling partner of the Coca-Cola Company. We bottle, distribute and sell an unrivalled range of products in 29 markets in Europe, Africa and Eurasia. As we do, we create value for all stakeholders, support socio-economic growth and build a more positive environmental impact.
 
 
 We bring together more than 30,000 people from over 70 nationalities, coming from five continents. The diversity of our markets, from mature to emerging economies, provides a wide range of attractive opportunities for growth.
 
 
 We nurture our talents. We give opportunities to people across all functions and levels, as well as different geographies, backgrounds and education. We are willing to take a risk on the people we believe in, even if they don&rsquo;t have the perfect experience. We have faith in what every person can be.
 
 
 And although we have so much to be proud of, we always stay humble. We believe the real magic happens - for us and for you - when we OPEN UP.
 
 
 
 
 
 
 AT COCA-COLA HBC, DIVERSITY HELPS US THRIVE
 
 
 
 At Coca-Cola HBC, we are an inclusive employer that thrives on diversity. This means our environment provides equal opportunities for all, regardless of race, color, religion, age, disability, sexual orientation, or gender identity. Join us in nurturing a culture where everyone belongs and contributes to our collective success.
 
</div>

SDG Group Middle East

<div>
 
 SDG Group is expanding its global Data &amp; Analytics practice and is seeking a motivated
 
 Data Analytics Engineer
 
 with 3 to 6 years
 
 of experience
 
 in DataOps. The ideal candidate has strong hands-on experience with either
 
 Databricks or Snowflake
 
 , alongside solid understanding of modern cloud data platforms and best practices in data engineering.
 
 
 This role offers a
 
 full-time employment contract in USD
 
 , allowing remote work on
 
 international projects
 
 aligned with the
 
 European working week (Monday to Friday).
 
 
 
 
 
 
 
 
 
 
 
 
 Key Responsibiliti
 
 
 <ul>
 <li>
 esDesign, build, and maintain scalable and reliable data pipelines following DataOps best practic
 </li>
 <li>
 esWork with modern cloud data stacks usin
 
 g Databric
 
 ks (Spark, Delta Lake) o
 
 r Snowfla
 
 ke (Snow pipe, tasks, stream
 </li>
 <li>
 s)Develop and optimize ETL/ELT workflows using Python, SQL, and orchestration too
 </li>
 <li>
 lsWork with Azure data services (ADF, ADLS, Azure SQL, Azure Function
 </li>
 <li>
 s)Implement CI/CD practices using Azure DevOps or Git-based workflo
 </li>
 <li>
 wsEnsure data quality, consistency, and governance across all delivered data solutio
 </li>
 <li>
 nsMonitor and troubleshoot pipelines for performance and operational excellen
 </li>
 <li>
 ceCollaborate with international teams, architects, and analytics consultan
 </li>
 <li>
 tsContribute to technical documentation and solution design asse
 </li>
 </ul>
 
 
 
 
 
 ts
 
 Required Skills &amp; Qualificati
 
 
 <ul>
 <li>
 onsBachelor&rsquo;s degree in computer science, Engineering, Information Systems, or related fi
 </li>
 <li>
 e
 
 ldHands-on experie
 
 nce in DataOps / Data Engineer
 </li>
 <li>
 ingStrong knowledge
 
 in Databricks OR Snowfl
 
 ake (one of them is mandato
 </li>
 <li>
 ry)Proficiency
 
 in Python and
 
 </li>
 <li>
 SQLExperience wi
 
 th Az
 
 ure data ecosystem (ADF, ADLS, Synapse, et
 </li>
 <li>
 c.)Understanding of CI/CD practices and DevOps for da
 </li>
 <li>
 ta.Knowledge of data modeling, orchestration frameworks, and monitoring to
 </li>
 <li>
 olsStrong analytical and troubleshooting ski
 </li>
 <li>
 llsEagerness to learn and grow in a global consulting environm
 </li>
 </ul>
 
 
 entNice to H
 
 
 <ul>
 <li>
 aveExperience with Delta Live Tables, Unity Catalog, or Lakehouse conce
 </li>
 <li>
 ptsKnowledge of BI tools (Power BI, Qli
 </li>
 <li>
 ck)Exposure to Agile / Scrum framewo
 </li>
 <li>
 rksRelevant certifications (Azure Data Engineer, Databricks, Snowfla
 </li>
 </ul>
 
 
 
 
 
 ke)
 
 What We O
 
 
 <ul>
 <li>
 fferRemote working model aligned with international project n
 </li>
 <li>
 eedsFull-time employment contract wit
 
 h a USD-based compensation pac
 
 </li>
 <li>
 kageOpportunity to work on European and global engagem
 </li>
 <li>
 entsMentorship and growth paths within SDG G
 </li>
 <li>
 roupA dynamic, innovative, and collaborative environ
 </li>
 <li>
 mentAccess to world-class training and learning platf
 </li>
 </ul>
 
 
 
 orms
</div>

Senior Data Analytics Engineer

Watan First Digital - Egypt

<div>
 
 
 Job Summary
 
 
 
 We are seeking a highly skilled Senior Cloud Security Engineer to design, implement, and manage the security architecture of our digital ecosystem. The primary objective is to protect the company's cloud-native applications and infrastructure from evolving cyber threats&mdash;such as Ransomware and unauthorized data exfiltration&mdash;while ensuring 100% business continuity through robust infrastructure hardening and immutable recovery strategies.
 
 
 
 
 
 
 Key Responsibilities
 
 
 <ul>
 <li>
 Infrastructure Hardening &amp; Networking: Secure Virtual Machines (VMs) and Virtual Networks (VNETs) by enforcing strict Network Security Groups (NSGs). Eliminate public-facing vulnerabilities by replacing standard RDP (3389) access with secure solutions like Azure Bastion and VPN Gateways.
 </li>
 <li>
 Identity &amp; Access Management (IAM): Implement the "Principle of Least Privilege" across the Azure environment. Enforce Multi-Factor Authentication (MFA) and manage Privileged Identity Management (PIM) for all administrative access.
 </li>
 <li>
 Advanced Data Protection: Ensure all sensitive data is encrypted at rest and in transit. Manage secrets, certificates, and cryptographic keys using Azure Key Vault.
 </li>
 <li>
 Backup &amp; Disaster Recovery (BDR): Architect and maintain an Immutable Backup strategy. Ensure that recovery points are isolated and protected from the production environment to guarantee restoration even in the event of a total system compromise.
 </li>
 <li>
 Threat Detection &amp; Monitoring: Deploy and manage Microsoft Defender for Cloud and Microsoft Sentinel (SIEM/SOAR) to detect, investigate, and respond to security alerts in real-time.
 </li>
 <li>
 Vulnerability Management: Conduct regular automated and manual vulnerability assessments on servers and databases (SQL, NoSQL). Oversee the immediate patching of critical security flaws.
 </li>
 <li>
 Incident Response: Lead the security incident response lifecycle. Create and test playbooks for rapid containment, eradication, and recovery during a security breach.
 </li>
 </ul>
 
 
 
 
 
 Technical Requirements
 
 
 <ul>
 <li>
 Experience: Minimum of 5+ years in Cybersecurity, with at least 3 years of hands-on experience exclusively in Microsoft Azure.
 </li>
 <li>
 Network Security: Deep expertise in Azure Firewalls, Application Gateways, WAF (Web Application Firewall), and Private Links.
 </li>
 <li>
 System Administration: Strong knowledge of Windows Server and Linux hardening techniques.
 </li>
 <li>
 Automation: Proficiency in scripting (PowerShell, Azure CLI) and Infrastructure as Code (Terraform or Bicep) to automate security compliance.
 </li>
 <li>
 DevSecOps: Experience integrating security checks into CI/CD pipelines (Azure DevOps / GitHub Actions).
 </li>
 <li>
 Database Security: Proven experience securing cloud-based databases and managing data integrity.
 </li>
 </ul>
 
 
 
 
 
 Preferred Qualifications &amp; Certifications
 
 
 <ul>
 <li>
 AZ-500: Microsoft Azure Security Technologies (Highly Preferred).
 </li>
 <li>
 SC-200: Microsoft Security Operations Analyst.
 </li>
 <li>
 CISSP or CISM certification.
 </li>
 <li>
 Experience in high-security environments or research-driven technology sectors
 </li>
 </ul>
</div>

Senior Cloud Security Engineer

Explore 310+ Senior data analyst in Cairo this April. Find roles across top companies and apply now to boost your career.

310 senior data analyst jobs In Cairo

Data Analyst, AMET Central Data Analytics team

Data Scientist / Senior Machine Learning Engineer

Data Analyst

Senior Data Scientist

Senior Data Scientist

Senior Data Analytics Engineer

Senior Cloud Security Engineer