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senior data engineer gcp

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

<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>

Starlink Qatar

<div>
 
 📌 𝗗𝗲𝘀𝗰𝗿𝗶𝗽𝘁𝗶𝗼𝗻:
 
 
 We are seeking a
 
 Senior Artificial Intelligence / Machine Learning Telecom Fraud Specialist
 
 to lead our defense against sophisticated telecom fraud. In this pivotal role, you will architect and deploy next-generation, AI-driven fraud detection frameworks to protect company revenue and maintain customer trust. You will be responsible for the entire lifecycle of AI/ML models targeting threats like SIM box, roaming, and OTT fraud. This position involves driving advanced predictive strategies, optimizing our core Fraud Management Systems (e.g., Subex, Mobileum), and mentoring a team of skilled analysts. You will collaborate closely with IT, Data, and Business teams to integrate cutting-edge technologies and ensure our fraud prevention capabilities are best-in-class. Your expertise will be crucial in assessing risks associated with new products and maintaining 24/7 system integrity. This is a strategic role focused on innovation, cost optimization, and making a significant impact on our bottom line by mitigating fraud-related losses.
 
 
 ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━
 
 
 
 
 
 🎯 𝗥𝗲𝗾𝘂𝗶𝗿𝗲𝗺𝗲𝗻𝘁𝘀:
 
 
 &rtrif; Over 10 years of experience in telecom fraud management, with expertise in diverse cases like SIM box, roaming, and OTT fraud.
 
 
 &rtrif; Demonstrated experience managing the full lifecycle of Artificial Intelligence / Machine Learning models, from conception and design to deployment and maintenance.
 
 
 &rtrif; Hands-on expertise with industry-standard Fraud Management Systems (FMS) such as Subex, Mobileum, or WeDo.
 
 
 &rtrif; Advanced proficiency in AI/ML programming languages and libraries, including Python, R, TensorFlow, and PyTorch.
 
 
 &rtrif; Strong experience with big data and cloud technologies, including Hadoop, AWS, Azure, or GCP.
 
 
 &rtrif; In-depth knowledge of telecom network technologies, including GSM, LTE, and 5G.
 
 
 &rtrif; Proven ability to develop and implement advanced fraud strategies using predictive analytics and anomaly detection.
 
 
 &rtrif; Exceptional leadership and interpersonal skills for mentoring teams and collaborating with cross-functional departments.
 
 
 
 
 
 ✨ 𝗗𝗲𝘀𝗶𝗿𝗮𝗯𝗹𝗲𝘀:
 
 
 &rtrif; A Master's degree or Ph.D. in Computer Science, Data Science, or a related quantitative field.
 
 
 &rtrif; Professional certifications in AI/ML, data science, or fraud risk management (e.g., CFE).
 
 
 &rtrif; Experience with both Operations Support Systems (OSS) and Business Support Systems (BSS) in a telecom environment.
 
 
 &rtrif; Published research or speaking experience in the fields of AI, machine learning, or fraud prevention.
 
 
 &rtrif; Experience in a 24/7 operational environment requiring system monitoring and timely incident response.
 
 
 
 
 
 ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━
 
 
 🚀 𝗧𝗮𝗸𝗲 𝘁𝗵𝗲 𝗟𝗲𝗮𝗽 𝗧𝗼𝘄𝗮𝗿𝗱 𝗮𝗻 𝗘𝘅𝗰𝗶𝘁𝗶𝗻𝗴 𝗙𝘂𝘁𝘂𝗿𝗲 &ndash; 𝗔𝗽𝗽𝗹𝘆 𝗡𝗼𝘄! 🚀
 
 
 
</div>

Senior AI/ML Telecom Fraud Specialist

ITALCONSULT

The main duties of Material Engineer the include, but are not limited to:&middot; Review and approve (make recommendation for approval by the RE/SRE) of all submitted materials by the contractor.&middot; Ensure compliance of used materials with the project&rsquo;s specifications.&middot; Participate in construction quality control.&middot; Supervise, participate and direct sampling and testing of all materials according to the contract and the specifications.&middot; Analyze the test results in a timely manner and recommend action to the Senior Resident Engineer /Senior Materials Engineer.&middot; Maintain records of test results and all taken corrective actions.&middot; Track and review the site testing and certificates of compliance.&middot; Ensure very close and clear coordination of his team activities with the other construction supervision staff.&middot; Follow up and verify implementation of corrective actions.&middot; Coordinate the review and approval of specialty and other high-profile materials with PWA/PMC and other stakeholders as directed by the SRE and Senior Materials Engineer.&middot; Ensure inspection and checking of all delivered materials to site for conformance to the project requirements and approval, as directed by the Senior Materials Engineer/Resident Engineer/Senior Resident Engineer.&middot; MMUP Registration&middot; 10 Years&rsquo; Experience in InfrastructureJob Types: Full-time, PermanentApplication Question(s):<ul><li>Are you available to join immediately?</li></ul>Education:<ul><li>Bachelor's (Required)</li></ul>Experience:<ul><li>Materials Engineer: 10 years (Required)</li></ul>License/Certification:<ul><li>MMUP (Required)</li></ul>Location:<ul><li>Doha (Required)</li></ul>

Materials Engineer

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