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Quantiphi

<div>
 
 
 About the Company
 
 :
 
 
 Quantiphi is an award-winning Data Science and Machine Learning Software and Services Company focused on helping organizations translate the big promise of Machine Learning technologies into quantifiable business impact. We were founded on the belief that machine learning and artificial intelligence are transformative technologies that will create the next quantum gain in customer experience and unit economics of businesses. We are one of the five global launch partners for Google in Machine Learning and one of the three global launch partners for the Google Cloud Contact Center AI solution. Our signature approach combines ground-breaking machine-learning research with disciplined cloud and data-engineering practices to create breakthrough impact at unprecedented speed. We believe in &ldquo;Solving What Matters.
 
 
 
 
 
 
 Role
 
 : Senior Data Engineer
 
 
 
 Experience Level
 
 : 8 to 15 Years
 
 
 
 Work location
 
 : Doha, Qatar
 
 
 
 
 
 
 Responsibilities
 
 :
 
 <ul>
 <li>
 Bachelor&rsquo;s degree in Computer Science or similar field or equivalent work experience.
 </li>
 <li>
 6+ years of experience on Data Warehousing, Data Engineering or Data Integration projects.
 </li>
 <li>
 Expert with data warehousing concepts, strategies, and tools.
 </li>
 <li>
 Strong SQL background.
 </li>
 <li>
 Strong knowledge of relational databases like SQL Server, PostgreSQL, MySQL.
 </li>
 <li>
 Strong experience in GCP &amp; Google BigQuery, Cloud SQL, Composer (Airflow), Dataflow, Dataproc, Cloud Function and GCS.
 </li>
 <li>
 Good to have knowledge on SQL Server Reporting Services (SSRS), and SQL Server Integration Services (SSIS).
 </li>
 <li>
 Knowledge of AWS and Azure Cloud is a plus.
 </li>
 <li>
 Experience in Informatica Power exchange for Mainframe, Salesforce, and other new-age data sources.
 </li>
 <li>
 Experience in integration using APIs, XML, JSONs etc.
 </li>
 <li>
 In-depth understanding of database management systems, online analytical processing (OLAP) and ETL (Extract, transform, load) framework, data-warehousing and Data Lakes
 </li>
 <li>
 Good understanding of SDLC, Agile and Scrum processes.
 </li>
 <li>
 Strong problem-solving, multi-tasking, and organizational skills.
 </li>
 <li>
 Highly proficient in working with large volumes of business data and strong understanding of database design and implementation.
 </li>
 <li>
 Good written and verbal communication skills.
 </li>
 <li>
 Demonstrated experience of leading a team spread across multiple locations.
 </li>
 </ul>
 
 
 
 
 
 Role &amp; Responsibilities:
 
 
 <ul>
 <li>
 Work with business users and other stakeholders to understand business processes.
 </li>
 <li>
 Ability to design and implement Dimensional and Fact tables
 </li>
 <li>
 Identify and implement data transformation/cleansing requirements
 </li>
 <li>
 Develop a highly scalable, reliable, and high-performance data processing pipeline to extract, transform and load data from various systems to the Enterprise Data Warehouse
 </li>
 <li>
 Develop conceptual, logical, and physical data models with associated metadata including data lineage and technical data definitions
 </li>
 <li>
 Design, develop and maintain ETL workflows and mappings using the appropriate data load technique
 </li>
 <li>
 Provide research, high-level design, and estimates for data transformation and data integration from source applications to end-user BI solutions.
 </li>
 <li>
 Provide production support of ETL processes to ensure timely completion and availability of data in the data warehouse for reporting use.
 </li>
 <li>
 Analyze and resolve problems and provide technical assistance as necessary. Partner with the BI team to evaluate, design, develop BI reports and dashboards according to functional specifications while maintaining data integrity and data quality.
 </li>
 <li>
 Work collaboratively with key stakeholders to translate business information needs into well-defined data requirements to implement the BI solutions.
 </li>
 <li>
 Leverage transactional information, data from ERP, CRM, HRIS applications to model, extract and transform into reporting &amp; analytics.
 </li>
 <li>
 Define and document the use of BI through user experience/use cases, prototypes, test, and deploy BI solutions.
 </li>
 <li>
 Develop and support data governance processes, analyze data to identify and articulate trends, patterns, outliers, quality issues, and continuously validate reports, dashboards and suggest improvements.
 </li>
 <li>
 Train business end-users, IT analysts, and developers
 </li>
 </ul>
</div>

Senior Data Engineer- GCP

Al Adyat consultancy

We are seeking a highly skilled Cloud Security Engineer to design, implement, and manage security solutions for our cloud-based infrastructure. The ideal candidate will have deep expertise in cloud platforms (AWS, Azure, GCP), strong understanding of security best practices, and hands-on experience with security tools and technologies.Key Responsibilities:<ul><li>Design and implement security architectures for cloud environments (AWS, Azure, GCP).</li><li>Conduct regular cloud security assessments and audits.</li><li>Develop and enforce security policies, procedures, and standards for cloud environments.</li><li>Monitor cloud environments for threats and vulnerabilities using SIEM and other monitoring tools.</li><li>Respond to cloud-related security incidents and provide forensic analysis.</li><li>Collaborate with DevOps and development teams to integrate security into CI/CD pipelines.</li><li>Implement identity and access management (IAM) controls and policies.</li><li>Manage encryption, key management, and data protection mechanisms in the cloud.</li><li>Stay current with emerging threats, technologies, and regulatory changes.</li></ul>Requirements:Education &amp; Experience:<ul><li>Bachelor's degree in Computer Science, Information Security, or related field.</li><li>3+ years of experience in cloud security or cybersecurity.</li><li>Experience with at least one major cloud platform (AWS, Azure, or GCP).</li></ul>Technical Skills:<ul><li>Strong knowledge of cloud-native security tools (e.g., AWS Security Hub, Azure Defender).</li><li>Familiarity with SIEM tools, firewalls, IDS/IPS, and endpoint protection.</li><li>Understanding of compliance frameworks: ISO 27001, NIST, GDPR, HIPAA, etc.</li><li>Experience with infrastructure-as-code (Terraform, CloudFormation, etc.).</li></ul>Knowledge of scripting languages (Python, Bash, etc.).Job Type: Full-timePay: QAR15,000.00 - QAR20,000.00 per monthEducation:<ul><li>Bachelor's (Required)</li></ul>Experience:<ul><li>Cloud Security Engineer : 4 years (Required)</li></ul>Language:<ul><li>Arabic (Required)</li><li>English (Required)</li></ul>License/Certification:<ul><li>degree in Computer Science (Required)</li></ul>

Cloud Security Engineer

Mekdam Holding Group

We are hiring for Senior Solution &amp; Integration Architect, which is leading to IT Sector Cilent in DohaRequired Skills &amp; Experience: <ul><li>10+ years of IT experience, with a strong specialization in enterprise integration and solution architecture across complex, large-scale environments.</li><li>Proven expertise in designing and implementing API-first and event-driven integration across cloud-native, hybrid, and on-premise ecosystems.</li><li>Hands-on experience with end-to-end integration lifecycle including planning, design, development, deployment, governance, and migration of integration solutions and projects.</li><li>Extensive knowledge of integration platforms such as GCP Integration Services (Apigee X, Pub/Sub, Cloud Run, Eventarc, Cloud Functions, Data Fusion, Dataflow, Stackdriver), IBM CP4I (ACE, MQ, APIC), and Azure Integration Services (API Management, Logic Apps, Event Grid) etc..</li><li>Strong hands-on background with ESB, iPaaS, and middleware platforms and tools, including experience building integration solutions using Google Application Integration or equivalent stacks.</li><li>Proficiency in microservices architecture, API lifecycle management, event-driven models, and cloud-native service design.</li><li>Strong development experience with containerization and orchestration tools including Docker and Kubernetes, along with working knowledge of DevOps, CI/CD pipelines, and automation tooling for integration delivery.</li><li>Experience in real-time data streaming platforms such as Kafka, Confluent, GCP Pub/Sub, or Azure Event Hub, and their integration with modern data platforms.</li><li>Strong understanding of security frameworks and protocols such as OAuth2.0, JWT, SAML, with practical experience ensuring compliance with regulatory standards including GDPR, PCI-DSS, OWASP, and NIST etc.</li><li>Deep knowledge of logging, monitoring, observability, and SLA enforcement using tools such as Cloud Monitoring, Cloud Logging (Stackdriver), and equivalent platforms.</li><li>Solid experience in designing full-stack, multi-channel digital solutions (web, mobile, desktop, kiosk) that ensure balance between user experience, performance, resilience, reliability, and security.</li><li>Proven ability to integrate applications into broader ecosystems using technologies such as APIs, message brokers, event-streams, microservices, and cloud-native services.</li><li>Strong background in software engineering, architecture, and security, including application security (OWASP Top 10), infrastructure security, and encryption practices</li><li>Preferred knowledge or experience with enterprise architecture and data modeling tools and alignment with EA frameworks such as TOGAF etc.</li><li>Experience working across cloud platforms such as GCP, Azure, OCI, and OpenShift. Provides technical leadership and architecture guidance to diverse stakeholders, translating cross-functional requirements into tailored, scalable solutions.</li><li>Experienced in mentoring development teams in reusable solution design, cost-optimized architecture, API-first thinking, event-driven integration, and DevSecOps adoption. Collaborates effectively with business analysts, product owners, developers, and vendors to transform requirements into viable solution architectures.</li><li>Ensures architectural decisions and designs align with enterprise principles, digital strategies, and operational priorities.</li><li>Leads and coordinates high-level and low-level solution design with internal IT teams and external vendors.</li><li>Actively contributes to architecture governance forums, design reviews, and vendor technical evaluations.</li><li>Defines and enforces non-functional requirements (e.g., scalability, availability, security, observability).</li><li>Participates in RFP processes, vendor selection, and architecture due diligence.</li><li>Ensures ongoing compliance with enterprise architecture standards, data governance policies, and security frameworks.</li><li>Supports the development of architectural reference models, technical roadmaps, and domain-specific principles.</li><li>conducts impact assessments, technical risk reviews, and supports decision-making on complex architectural issues.</li><li>Engages in cross-functional design reviews and enterprise architecture communities of practice.</li></ul>Qualifications: <ul><li>Bachelor&rsquo;s degree in computer science, Computer Engineering, Information Technology, or related discipline.</li><li>Preferred knowledge includes TOGAF, Google Professional Cloud Architect, IBM Integration Architect, Microsoft Azure Architect, or equivalent practices</li></ul>Job Type: Full-time

Senior Solution & Integration Architect

<div>
 
 
 Designation:
 
 Senior Data Scientist
 
 
 
 Experience level:
 
 8 to 15 years
 
 
 
 
 
 
 Skills - Required:
 
 
 <ul>
 <li>
 Knowledge of statistical modelling and popular machine learning models.
 </li>
 <li>
 Good analytical skills, with expertise in analytical tool-kits such as Logistic Regression, Cluster Analysis, Factor Analysis, Multivariate Regression, Statistical modelling, predictive analysis.
 </li>
 <li>
 Hands-on with Python/R programming and knowledge of machine learning tools like Scikit-Learn, Pandas, TensorFlow, Pytorch, Keras, OpenCV, XGBoost etc.
 </li>
 <li>
 Computer Vision: Image pre-processing, image matching/comparison using SIFT/SURF/ORB, Object detection (Faster RCNN, YOLO, SSD, etc.), Image similarity (Siamese network), Image classification.
 </li>
 <li>
 NLP: Vector Space modelling in NLP, LSTMS, Sequence modelling, Attention modelling, BERT, Transformers. Using the abovementioned techniques performing Document classification, Semantic similarity, NER, Sentiment Analysis.
 </li>
 <li>
 Time Series Analysis using ARIMA, SARIMA, LSTMs, etc.
 </li>
 <li>
 Feature engineering, Feature selection/Feature importance, Dimensionality.
 </li>
 <li>
 Reduction (PCA, etc.), Hyperparameter tuning, Ensembling techniques like Bagging, Boosting, Stacking.
 </li>
 <li>
 Should possess knowledge of multiple cloud platforms (GCP-Preferable, Azure or AWS) and machine learning services offered by them.
 </li>
 <li>
 Critical eye for the quality of data and strong desire to get it right.
 </li>
 <li>
 A pleasantly forceful personality and charismatic communication style.
 </li>
 </ul>
 
 
 
 
 
 Skills - Nice to Have:
 
 
 <ul>
 <li>
 Experience in building end to end machine learning pipelines, deployment using any ML Ops Framework (Kube Flow Pipelines, Vertex AI), model performance monitoring, CI/CD.
 </li>
 <li>
 Experience in GCP based ML solutions and services like Contact Centre AI, Vertex AI, Document AI, Speech-to-Text, Text-to Speech, Natural Language, Dialog Flow, AutoML, Vision, Video Intelligence, Base OCR, Form Parser, Invoice Parser, etc.
 </li>
 </ul>
 
 
 
 
 
 Your Job will require:
 
 
 <ul>
 <li>
 Ability to multitask and work on multiple engagements related to different domains.
 </li>
 <li>
 Be able to pick up newer technologies in a short span of time
 </li>
 <li>
 Work in a highly collaborative environment by interacting with the stakeholders and various IT teams within the company to facilitate design and development of ML/AI solutions.
 </li>
 <li>
 Be responsible for the successful delivery of all allocated projects with respect to schedule, quality and customer satisfaction.
 </li>
 <li>
 Follow Agile standards and methodologies in all phases of the project.
 </li>
 <li>
 Ensure excellence in delivery to customers
 </li>
 <li>
 Self-driven individuals with a passion for research and development and the zest for solving what matters.
 </li>
 </ul>
 
 
 
 
 
 What&rsquo;s in it for you?
 
 
 <ul>
 <li>
 The experience of working in a category defining high growth start-ups in the transformational AI, Decision Science and Big Data Domain.
 </li>
 <li>
 The opportunity of getting on boarded to the phenomenal growth journey and helping the customers take the next big leap in digital transformation
 </li>
 <li>
 The opportunity to work with a diverse, lively and proactive group of techies who are constantly raising the bar on the art of translating mounds of data into tangible business value for clients.
 </li>
 <li>
 An ergonomic and beautiful working space in the heart of Mumbai open for you 24 hours
 </li>
 </ul>
</div>

Senior Data Scientist

Brainlake Advertising LLC

<div>About The Role
We&rsquo;re looking for a Chief Digital Architect to lead architecture vision and governance across a multi-brand digital ecosystem defining how customer-facing platforms, data, and Gen-AI applications come together to deliver next-generation experiences.
You&rsquo;ll act as the overall architecture authority, aligning strategy and execution across digital, web, mobile, loyalty, integration, and cloud. You&rsquo;ll collaborate with Enterprise, Cloud, and Solution Architects to design a cohesive, scalable, and secure landscape that powers innovation across multiple brands.
This is a senior, high-impact role for someone who combines deep technical acumen with strategic leadership and hands-on delivery.
What You'll Do<ul>
<li>
Act as the Chief Architect for the enterprise digital landscape.</li>
<li>Coordinate across Solution, Cloud, and Enterprise Architecture teams.</li>
<li>Map and document the current-state architecture across all digital domains.</li>
<li>Lead architecture reviews of key customer journeys and technology layers.</li>
<li>Design target-state architectures and transition roadmaps across platforms.</li>
<li>Define architecture for digital workstreams (web, mobile, loyalty, data, integration, cloud).</li>
<li>Ensure architectural coherence across Gen-AI, cloud-native, and CX applications.</li>
<li>Drive design reviews, documentation standards, and governance processes.</li>
</ul>
Requirements<ul>
<li>
12+ years building and delivering customer-facing digital applications (web &amp; mobile).</li>
<li>Expertise in MDM, CDP, CXP, CMS, DAM, and Loyalty platforms.</li>
<li>Hands-on experience with cloud-native applications (Azure or GCP).</li>
<li>Experience building and deploying Gen-AI solutions.</li>
<li>Strong understanding of software architecture styles, microservices, and DevSecOps.</li>
<li>Exposure to multi-tenancy and FinOps in scalable cloud environments.</li>
<li>Experience leading architecture teams and collaborating with delivery squads.</li>
<li>Broad understanding of retail and e-commerce ecosystems.</li>
<li>Excellent communication and stakeholder management skills.</li></ul></div>

Chief Digital Architect

Brainlake

<div>
 
 About The Role
 
 
 
 We're looking for a Chief Digital Architect to lead architecture vision and governance across a multi-brand digital ecosystem defining how customer-facing platforms, data, and Gen-AI applications come together to deliver next-generation experiences.
 
 
 You'll act as the overall architecture authority, aligning strategy and execution across digital, web, mobile, loyalty, integration, and cloud. You'll collaborate with Enterprise, Cloud, and Solution Architects to design a cohesive, scalable, and secure landscape that powers innovation across multiple brands.
 
 
 This is a senior, high-impact role for someone who combines deep technical acumen with strategic leadership and hands-on delivery.
 
 
 
 What You'll Do
 
 
 
 <ul>
 <li>
 Act as the Chief Architect for the enterprise digital landscape
 </li>
 <li>
 Coordinate across Solution, Cloud, and Enterprise Architecture teams
 </li>
 <li>
 Map and document the current-state architecture across all digital domains
 </li>
 <li>
 Lead architecture reviews of key customer journeys and technology layers
 </li>
 <li>
 Design target-state architectures and transition roadmaps across platforms
 </li>
 <li>
 Define architecture for digital workstreams (web, mobile, loyalty, data, integration, cloud)
 </li>
 <li>
 Ensure architectural coherence across Gen-AI, cloud-native, and CX applications
 </li>
 <li>
 Drive design reviews, documentation standards, and governance processes
 
 
 </li>
 </ul>
 
 Requirements
 
 
 
 <ul>
 <li>
 12+ years building and delivering customer-facing digital applications (web &amp; mobile)
 </li>
 <li>
 Expertise in MDM, CDP, CXP, CMS, DAM, and Loyalty platforms
 </li>
 <li>
 Hands-on experience with cloud-native applications (Azure or GCP)
 </li>
 <li>
 Experience building and deploying Gen-AI solutions
 </li>
 <li>
 Strong understanding of software architecture styles, microservices, and DevSecOps
 </li>
 <li>
 Exposure to multi-tenancy and FinOps in scalable cloud environments
 </li>
 <li>
 Experience leading architecture teams and collaborating with delivery squads
 </li>
 <li>
 Broad understanding of retail and e-commerce ecosystems
 </li>
 <li>
 Excellent communication and stakeholder management skills
 </li>
 </ul>
</div>

ECCO Gulf Majorel Qatar

<div>Job Description

ECCO Gulf Majorel Qatar is seeking an experienced Spectrum Monitoring Engineer to join our dynamic team in Doha, Qatar. As a Spectrum Monitoring Engineer, you will play a crucial role in ensuring the efficient and effective use of the radio frequency spectrum. Your expertise will contribute to maintaining the integrity and performance of our communication systems.
<ul><li> Operate the mobile or fixed monitoring stations, as assigned, in order to carry out monitoring requirements effectively and in accordance to best practices and standards.</li></ul>
<ul><li> Support and advice the Spectrum Monitoring-Coordinators in carrying out monitoring activities, as required.
</li></ul><ul><li> Identify source/type of interference, spill over, etc. and check compliance with technical parameters and provide recommendations for eliminating harmful interferences.
</li></ul><ul><li> Collaborate with frequency users in order to identify any spectrum infringements and inform the Spectrum Operations-Senior Engineer as required.</li></ul>
<ul><li> Compile and analyse data and information upon completion of monitoring investigations and share with Spectrum Operations-Senior Engineer in order to determine if there are cases of breaching compliance to licensing conditions.
</li></ul><ul><li> Develop and maintain a reference database of monitored frequencies.
</li></ul><ul><li> Identify any maintenance requirements for the mobile or fixed stations and follow up with Spectrum Operations-Senior Engineer in order to ensure operational readiness.</li></ul>
<ul><li> Provide the Spectrum Operations-Senior Engineer with regular updates of monitoring activities, issues identified, band efficiency, radiation patterns and others, as required.</li></ul>
<ul><li> Stay up to date with international recommendations, standards and trends related to spectrum monitoring.</li></ul> 

Required Profile

We are looking for a candidate with a strong technical background and professional experience in spectrum monitoring. The ideal candidate will possess the following qualifications and skills:
<ul>
<li>Bachelor&rsquo;s degree in electrical engineering, Telecommunications, or a related field.</li>
<li>
A minimum of 6 years of relevant work experience, preferably in a regulatory entity.
</li>
<li>Proven experience in spectrum monitoring or a similar role.</li>
<li>Strong understanding of radio frequency principles and spectrum management.</li>
<li>Proficiency in using spectrum analysers and other relevant tools.</li>
<li>Excellent analytical and problem-solving skills.</li>
<li>Strong communication and reporting skills.</li>
<li>Ability to work independently and as part of a team.</li>
<li>Fluency in English; knowledge of Arabic is an advantage.</li></ul></div>

Spectrum Monitoring Engineer

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