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senior support engineer

Datamatics Global Services Ltd

<div><h2 class="jobSectionHeader">Job Title: Senior Data Engineer (AWS)</h2>
Experience: 6&ndash;8 Years 
Location: Remote 
Industry: Retail / Data &amp; Analytics<h3 class="jobSectionHeader"> 
Job Summary</h3>
We are seeking highly skilled and innovative Senior Data Engineers (AWS) to join a dynamic team supporting advanced data initiatives. The ideal candidates will have strong hands-on experience in building scalable data pipelines, working with AWS data services, and delivering high-quality data solutions in fast-paced environments.
This role requires individuals who are problem-solvers, adaptable, and capable of working collaboratively within high-performing teams.<h3 class="jobSectionHeader">
Key Responsibilities</h3><ul><li>
Design, develop, and maintain scalable data pipelines using AWS services.</li><li>
Build and optimize ETL/ELT processes using AWS Glue and DBT (Data Build Tool).</li><li>
Manage and configure data workflows and orchestration within the Orion framework.</li><li>
Develop and maintain configuration files and ensure seamless integration across systems.</li><li>
Collaborate with data architects, analysts, and business stakeholders to deliver data solutions.</li><li>
Optimize data processing performance and ensure data quality and reliability.</li><li>
Work on data modeling, transformation, and warehousing solutions.</li><li>
Implement best practices for data governance, security, and compliance.</li><li>
Troubleshoot and resolve data-related issues across pipelines and infrastructure.</li><li>
Contribute to continuous improvement and innovation in data engineering practices.</li></ul><h3 class="jobSectionHeader">
Required Skills &amp; Expertise</h3><ul><li>
Strong experience with AWS ecosystem, including:<ul><li>
AWS Glue</li><li>
Amazon S3</li><li>
AWS Lambda</li><li>
Amazon Redshift / RDS</li></ul></li><li>
Hands-on expertise in DBT (Data Build Tool) for data transformation.</li><li>
Solid understanding of data pipeline architecture and ETL/ELT processes.</li><li>
Experience working with Orion framework and handling configuration-driven workflows.</li><li>
Good understanding of networking concepts within AWS environments (VPC, subnets, security groups).</li><li>
Proficiency in SQL and Python for data processing.</li><li>
Experience with version control systems (Git).</li><li>
Familiarity with CI/CD pipelines for data workflows.</li></ul><h3 class="jobSectionHeader">
Preferred Qualifications</h3><ul><li>
Experience in retail or supply chain data environments.</li><li>
Exposure to real-time data processing and streaming frameworks.</li><li>
Knowledge of data lake and lakehouse architectures.</li><li>
AWS certifications (e.g., AWS Certified Data Analytics or Solutions Architect).</li></ul><h3 class="jobSectionHeader">
Key Competencies</h3><ul><li>
Strong analytical and problem-solving skills</li><li>
Innovative mindset with a focus on continuous improvement</li><li>
Ability to work in high-performance, collaborative teams</li><li>
Excellent communication and stakeholder management skills</li><li>
Ownership and accountability for deliverables</li></ul>
7A69crohYg</div>

Senior Data Engineer (AWS)

DeepSource Technologies

<div><ul><li>Lead and manage end-to-end storage projects focused on PScale, ECS, and DataDomain storage solutions for enterprise client in Riyadh, KSA.</li><li>
Collaborate with cross-functional teams to design, implement, and maintain scalable storage and virtualization architectures.</li><li>
Analyze client requirements and assess existing infrastructures to propose optimal storage and virtualization strategies.</li><li>
Configure, test, and validate migration and deployment processes to ensure seamless transitions with minimal operational disruption.</li><li>
Provide technical guidance and hands-on support throughout the project lifecycle, including documentation and knowledge transfer.</li><li>
Monitor and optimize the performance of deployed environments, troubleshoot issues, and implement corrective actions.</li><li>
Work closely with support teams to ensure smooth post-deployment operations and resolve escalated technical cases.</li></ul> 

Requirements 
<ul><li>
Bachelor&rsquo;s degree in Computer Science, Information Technology, or related field.</li><li>
Minimum 4 years of experience as a Service Delivery Engineer or similar technical role.</li><li>
Proven expertise in PScale, ECS, and DataDomain storage and virtualization technologies.</li><li>
Experience managing complex storage and virtualization deployment/migration projects in enterprise environments.</li><li>
Strong skills in configuring, troubleshooting, and maintaining storage and virtualized infrastructure.</li><li>
Excellent communication, problem-solving, and analytical skills.</li><li>
Ability to work independently and collaboratively in cross-functional teams.</li><li>
Familiarity with project management methodologies and tools.</li><li>
Willingness and ability to work onsite in Riyadh, KSA.</li></ul> 

Benefits 
<ul><li>
Private Health Insurance ( Family )</li><li>
Social Insurance</li></ul></div>

Sr. Storage& Backup Engineer - PScale, ECS, DD - Riyadh, KSA

<div><h2 class="jobSectionHeader">Note: Only CV which are as per JD will be contacted. 
 
Job Title: Data Engineer / Senior Data Engineer 
Location : UAE - Onsite 
</h2><h3 class="jobSectionHeader">
Role Purpose</h3>
Design, develop, and maintain scalable data pipelines and modern data platforms using Microsoft Fabric and Azure ecosystem. The role involves building efficient data solutions that support analytics, reporting, and advanced data use cases across the organization.<h3 class="jobSectionHeader">
Key Responsibilities</h3><ul><li>
Design, build, and maintain robust ETL/ELT pipelines using Azure Data Factory (ADF) and Microsoft Fabric</li><li>
Develop and optimize data workflows using PySpark and SQL</li><li>
Implement and manage Lakehouse architecture using Medallion (Bronze, Silver, Gold) layers</li><li>
Work with Azure Data Lake Storage (ADLS) and Delta Lake for efficient data storage and processing</li><li>
Integrate data from multiple sources ensuring data quality, consistency, and reliability</li><li>
Collaborate with BI developers and analysts to enable data models and reporting solutions</li><li>
Monitor, troubleshoot, and optimize data pipelines and performance issues</li><li>
Ensure data governance, security, and compliance best practices</li></ul><h3 class="jobSectionHeader">
Additional Responsibilities (Senior Data Engineer)</h3><ul><li>
Lead the design and architecture of scalable data platforms and solutions</li><li>
Define data engineering standards, best practices, and frameworks</li><li>
Mentor junior data engineers and review code for quality and performance</li><li>
Optimize large-scale data processing and improve system efficiency</li><li>
Collaborate with stakeholders to translate business requirements into technical solutions</li><li>
Drive adoption of Microsoft Fabric and modern data engineering practices across teams</li></ul><h3 class="jobSectionHeader">
Required Skills &amp; Experience</h3><h4 class="jobSectionHeader">
For Data Engineer (3&ndash;5 Years)</h4><ul><li>
Hands-on experience with Azure Data Factory (ADF) and ADLS</li><li>
Strong programming skills in PySpark and SQL</li><li>
Experience in building ETL pipelines and working with structured/unstructured data</li><li>
Basic understanding of Lakehouse and Medallion architecture</li><li>
Familiarity with Delta Lake concepts</li><li>
Good problem-solving and debugging skills</li></ul><h4 class="jobSectionHeader">
For Senior Data Engineer (5&ndash;10 Years)</h4><ul><li>
Extensive experience in Azure data ecosystem and Microsoft Fabric</li><li>
Strong expertise in designing end-to-end data architectures</li><li>
Deep understanding of Lakehouse, Medallion architecture, and Delta Lake</li><li>
Proven experience in handling large-scale distributed data processing</li><li>
Strong performance tuning and optimization skills</li><li>
Experience leading projects and mentoring teams</li></ul><h3 class="jobSectionHeader">
Preferred Qualifications</h3><ul><li>
Experience in Azure Databricks</li><li>
Knowledge of data modeling and data warehousing concepts</li><li>
Exposure to data governance and data quality frameworks</li><li>
Experience working in Agile environments</li></ul><h3 class="jobSectionHeader">
Soft Skills</h3><ul><li>
Strong communication and stakeholder management skills</li><li>
Analytical thinking and problem-solving mindset</li><li>
Ability to work independently and in a collaborative team environment</li></ul>
Pi3WGqPOnG</div>

Data Engineer / Senior Data Engineer

D.engage

DEngage is a multinational SaaS company dedicated to delivering innovative solutions that drive digital engagement and enhance customer experiences. Our team is passionate about technology and committed to fostering an environment where talent can thrive and grow.We are looking for a Senior CX Support Executive to handle complex technical issues, mentor junior team members, and ensure high-quality ticket resolutions. This role requires a strong mix of technical troubleshooting, data analysis, and customer communication, along with the ability to independently manage escalations.Key Responsibilities<ul><li>Own and resolve complex client issues and escalations with minimal supervision</li><li>Provide high-quality, structured resolutions with clear root cause analysis (RCA)</li><li>Troubleshoot issues related to:</li><li>API integrations and failures</li><li>Data inconsistencies (imports, exports, segmentation)</li><li>Campaign execution and analytics discrepancies</li><li>Tracking, SDK behavior, and deliverability concerns</li><li>Perform advanced SQL analysis for data validation and debugging</li><li>Collaborate with Engineering and Product teams for bug identification and fixes</li><li>Ensure proper documentation of issues, RCA, and solutions</li><li>Support and mentor CX Support Executives in troubleshooting and communication</li><li>Identify recurring issues and suggest process or product improvements</li><li>Ensure adherence to SLAs, quality standards, and support workflows</li></ul>Requirements<ul><li>4&ndash;5 years of experience in SaaS / Technical Support / CX roles</li><li>Strong experience in handling escalations and critical issues</li><li>Excellent written and verbal communication skills</li><li>Ability to provide clear, concise, and client-friendly technical explanations</li><li>Strong analytical thinking and problem-solving skills</li></ul>Technical Skills<ul><li>Strong proficiency in SQL and relational databases (must-have)</li><li>Solid understanding of REST APIs, request/response handling, and debugging</li><li>Experience with JavaScript, HTML, and web tracking integrations</li><li>Good understanding of data flows and system integrations</li><li>Familiarity with helpdesk and ticketing tools (Jira, Zendesk, Freshdesk, etc.)</li></ul>Nice to Have<ul><li>Experience with mobile SDKs (Android/iOS/React Native/Flutter)</li><li>Knowledge of DNS and deliverability concepts (SPF, DKIM, push tokens)</li><li>Experience with CDMP, CRM, or marketing automation platforms</li><li>Exposure to event tracking and analytics systems</li></ul>Benefits:Growth Opportunities: Access to professional development and career growth within a rapidly expanding SaaS company. Collaborative Culture: Work in a supportive and innovative environment where your contributions are valued.Competitive Benefits: Enjoy a comprehensive benefits package.D.engage is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all Team MembersJob Type: Full-timePay: From Rs100,000.00 per monthWork Location: Hybrid remote in Karachi

Senior CX Support Executive

LeadingEdge HR Solutions

<div>
 
 NOW HIRING | SENIOR AI ENGINEER &ndash; REMOTE | BAHRAIN
 
 
 
 
 Position Title:
 
 Senior AI Engineer
 
 
 
 Location:
 
 Bahrain (Remote)
 
 
 
 Contract Type:
 
 Full-Time Permanent
 
 
 
 Role Overview
 
 
 
 Our Client is a forward-thinking organisation based in Bahrain, operating at the intersection of technology and financial services. They are seeking a skilled
 
 Senior AI Engineer
 
 to
 
 design, develop, and deliver end-to-end AI solutions
 
 &mdash; bringing a strong
 
 consultancy or banking background
 
 and the ability to translate complex business challenges into scalable, production-ready AI applications on a fully
 
 remote basis.
 
 
 
 
 Key Responsibilities
 
 
 
 <ul>
 <li>
 Design, develop, and deploy end-to-end AI use cases that are directly aligned to business objectives and organisational priorities.
 </li>
 <li>
 Engage with business stakeholders across consulting and banking functions to identify, scope, and prioritise AI opportunities with measurable impact.
 </li>
 <li>
 Translate complex operational and business requirements into intelligent, production-ready AI and machine learning solutions.
 </li>
 <li>
 Build, optimise, and maintain machine learning models, data pipelines, and AI-driven applications to the highest technical standards.
 </li>
 <li>
 Ensure all AI solutions are robust, scalable, and suitable for live production environments.
 </li>
 <li>
 Continuously monitor industry developments, emerging AI tools, and evolving best practices within the banking and consulting sectors.
 </li>
 <li>
 Clearly document technical processes, methodologies, and outcomes; present findings to both technical teams and senior non-technical stakeholders.
 
 
 
 </li>
 </ul>
 
 Required Experience &amp; Skills
 
 
 
 <ul>
 <li>
 Minimum 2 years of hands-on experience in designing, building, and deploying AI and machine learning solutions.
 </li>
 <li>
 Demonstrated ability to deliver end-to-end AI projects independently from concept through to full production deployment.
 </li>
 <li>
 Prior experience within consulting and/or banking and financial services is strongly preferred.
 </li>
 <li>
 Strong proficiency in Python with practical experience across leading AI tools, machine learning libraries, and development frameworks.
 </li>
 <li>
 Proven working knowledge of cloud platforms including AWS, Microsoft Azure, or Google Cloud.
 </li>
 <li>
 Solid experience working with large-scale datasets and building predictive or natural language processing models.
 </li>
 <li>
 Exceptional communication skills with the ability to articulate complex technical concepts to both technical and non-technical stakeholders.
 </li>
 <li>
 Highly self-managed, organised, and dependable in a fully remote working environment.
 
 
 
 </li>
 </ul>
 
 Apply Now:
 
 
 
 
 Interested candidates can share there resume at
 
 talent@leadingedge.plus
 
 mentioning title in the subject line.
 
</div>

SENIOR AI ENGINEER – ONSITE_KHI

<div><h2 class="jobSectionHeader">Job Title: Senior Data Engineer</h2>
Location: Remote 
Experience: 7 - 10 Years 
 
Only CV's which are as per JD will be shortlisted<h3 class="jobSectionHeader">
Role Purpose</h3>
We are seeking a highly skilled Senior Data Engineer to design, develop, and maintain scalable data pipelines and modern data platforms leveraging the Microsoft Fabric and Azure ecosystem. This role is critical in enabling data-driven decision-making by building efficient, reliable, and high-performance data solutions that support analytics, reporting, and advanced data use cases across the organization.<h3 class="jobSectionHeader">
Key Responsibilities</h3><h4 class="jobSectionHeader">
Data Engineering &amp; Development</h4><ul><li>
Design, build, and maintain robust ETL/ELT pipelines using Azure Data Factory (ADF) and Microsoft Fabric</li><li>
Develop and optimize data workflows using PySpark and SQL</li><li>
Implement and manage Lakehouse architecture using the Medallion (Bronze, Silver, Gold) layers</li><li>
Work with Azure Data Lake Storage (ADLS) and Delta Lake for scalable data storage and processing</li><li>
Integrate data from multiple sources while ensuring data quality, consistency, and reliability</li></ul><h4 class="jobSectionHeader">
Collaboration &amp; Enablement</h4><ul><li>
Partner with BI developers and analysts to enable data models and reporting solutions</li><li>
Collaborate with cross-functional stakeholders to translate business requirements into technical solutions</li></ul><h4 class="jobSectionHeader">
Performance &amp; Reliability</h4><ul><li>
Monitor, troubleshoot, and optimize data pipelines and system performance</li><li>
Ensure high availability and scalability of data platforms</li></ul><h4 class="jobSectionHeader">
Governance &amp; Compliance</h4><ul><li>
Implement and enforce data governance, security, and compliance best practices</li><li>
Ensure proper data lineage, cataloging, and documentation</li></ul><h3 class="jobSectionHeader">
Additional Responsibilities (Senior Level)</h3><ul><li>
Lead the design and architecture of scalable data platforms and solutions</li><li>
Define and enforce data engineering standards, frameworks, and best practices</li><li>
Mentor junior data engineers and conduct code reviews to ensure quality and performance</li><li>
Optimize large-scale data processing and improve system efficiency and cost optimization</li><li>
Drive adoption of Microsoft Fabric and modern data engineering practices across teams</li></ul><h3 class="jobSectionHeader">
Required Skills &amp; Qualifications</h3><ul><li>
5+ years of experience in Data Engineering</li><li>
Strong hands-on experience with:<ul><li>
Azure Data Factory (ADF)</li><li>
Microsoft Fabric</li><li>
PySpark and SQL</li><li>
Azure Data Lake Storage (ADLS)</li><li>
Delta Lake</li></ul></li><li>
Solid understanding of data modeling, ETL/ELT concepts, and Lakehouse architecture</li><li>
Experience with Medallion architecture (Bronze, Silver, Gold layers)</li><li>
Strong problem-solving and performance optimization skills</li><li>
Experience working in cloud-based data platforms (Azure preferred)</li></ul><h3 class="jobSectionHeader">
Preferred Qualifications</h3><ul><li>
Experience with Power BI or other BI tools</li><li>
Familiarity with data governance and security frameworks</li><li>
Exposure to CI/CD pipelines for data engineering workflows</li><li>
Experience working in Agile/Scrum environments</li></ul>
yYDt4WOcQ2</div>

Senior Data Engineer

ARWEN TECH (PVT) LTD.

<div>
 &gt; Back to Jobs
 
 
 Pre Sales Senior Engineer
 
 
 Posted on Apr 16, 2026
 
 
 Title
 
 
 Pre Sales Senior Engineer
 
 
 Apply before
 
 
 Apr 30, 2026
 
 
 City
 
 
 Karachi
 
 
 
 Responsibilities
 
 
 
 
 Summary of Job
 
 
 
 As a Pre-Sales Senior Engineer, you will play a pivotal role in driving technical sales success by providing advanced technical expertise and leadership throughout the sales cycle. You will collaborate closely with sales leadership and cross-functional teams to architect sophisticated solutions that address complex customer challenges. Your role includes mentoring junior engineers, leading technical engagements, and influencing product strategy through customer insights. You will act as a trusted technical advisor to clients and internal stakeholders, ensuring delivery of high-value, scalable, and innovative system integration solutions.
 
 
 
 Essential Duties And Responsibilities
 
 
 
 <ul>
 <li>
 Lead Collaboration with Sales Leadership: Partner with senior sales representatives and account managers to deeply understand strategic customer needs and identify high-impact system integration opportunities.
 </li>
 <li>
 Advanced Technical Assessments: Conduct comprehensive technical evaluations and architecture design sessions for complex client environments, ensuring scalable and future-proof solutions.
 </li>
 <li>
 Solution Architecture &amp; Customization: Lead the design and configuration of tailored, multi-component solutions addressing intricate client requirements, including integration with emerging technologies.
 </li>
 <li>
 Technical Leadership in Presentations: Develop and deliver high-level technical presentations, demos, and proposals that clearly articulate the business and technical value of solutions to executive stakeholders.
 </li>
 <li>
 Mentorship &amp; Team Enablement: Provide guidance and mentorship to junior pre-sales engineers, fostering skill development and knowledge sharing within the team.
 </li>
 <li>
 Pre-Sales Strategy &amp; Support: Drive proof-of-concept (PoC) initiatives, pilot projects, and technical workshops; proactively address complex technical inquiries and challenges during the sales process.
 </li>
 <li>
 Market &amp; Technology Leadership: Maintain expert-level awareness of evolving system integration technologies, cloud services, security trends, and competitive landscape to inform solution innovation.
 </li>
 <li>
 Cross-Functional Feedback Loop: Collaborate with product management, engineering, and R&amp;D teams by delivering actionable customer feedback and influencing product roadmap and enhancements.
 </li>
 <li>
 Risk &amp; Compliance Advisory: Advise on technical risks, compliance requirements, and best practices to ensure solutions meet regulatory and security standards.
 
 
 </li>
 </ul>
 
 Requirements
 
 
 
 
 Knowledge, Skills, Abilities (KSA&rsquo;s) required to successfully perform the job:
 
 
 
 <ul>
 <li>
 Expertise in System Integration: Mastery of system integration principles, methodologies, and best practices across diverse IT environments.
 </li>
 <li>
 Comprehensive IT Infrastructure Knowledge: Deep understanding of enterprise IT infrastructure, cloud architectures (public/private/hybrid), and software-defined solutions.
 </li>
 <li>
 Emerging Technology Insight: Proficient in evaluating and applying emerging technologies such as AI/ML, IoT, cybersecurity frameworks, and automation tools.
 </li>
 <li>
 Advanced Communication &amp; Influencing: Exceptional ability to communicate complex technical concepts clearly and persuasively to both technical and non-technical audiences, including C-level executives.
 </li>
 <li>
 Strategic Analytical Thinking: Strong critical thinking and problem-solving skills to architect innovative solutions that align with business goals.
 </li>
 <li>
 Leadership &amp; Collaboration: Proven ability to lead cross-functional teams, manage multiple stakeholders, and foster a collaborative environment.
 </li>
 <li>
 Technical Documentation &amp; Tools: Expertise in creating detailed technical documentation, solution blueprints, and utilizing advanced tools for presentations and demos.
 
 
 </li>
 </ul>
 
 Education, Experience, Licensure, Certification Required For The Position
 
 
 
 <ul>
 <li>
 Bachelor&rsquo;s Degree in Computer Science, Information Technology, Engineering, Information Systems, or a related field; Master&rsquo;s degree preferred.
 </li>
 <li>
 5+ years of progressive experience in technical pre-sales, solutions engineering, or related roles with a focus on complex enterprise solutions.
 </li>
 <li>
 Demonstrated success in leading product demos, PoCs, technical workshops, and supporting large-scale sales initiatives.
 </li>
 <li>
 Extensive experience working with enterprise customers, understanding complex business and technical requirements.
 </li>
 <li>
 Prior experience in system integration architecture, product customization, and solution design leadership is highly desirable.
 </li>
 <li>
 Relevant certifications such as CISSP, AWS/Azure Architect, PMP, or vendor-specific system integration certifications are a strong plus.
 
 
 </li>
 </ul>
 
 Required
 
 
 
 
 Competencies required to successfully perform the job:
 
 
 
 
 Technical Competencies Behavioral/General Competencies
 
 
 
 <ul>
 <li>
 Advanced Technical Product and Solution Knowledge 1. Communication Skills
 </li>
 <li>
 Leadership in Proof of Concept (PoC) Development 2. Collaboration &amp; Teamwork
 </li>
 <li>
 Enterprise Networking and Security 3. Customer-Centric Mindset
 </li>
 <li>
 RFP/RFI Leadership and Proposal Strategy 4. Problem-Solving Attitude
 
 
 </li>
 </ul>
 
 Benefits
 
 
 
 <ul>
 <li>
 Excellent Salary
 </li>
 <li>
 Fuel Allowance
 </li>
 <li>
 Internet Allowance
 </li>
 <li>
 Medical Insurance
 </li>
 <li>
 Annual Leaves
 </li>
 <li>
 Provident Fund
 </li>
 <li>
 EOBI
 </li>
 <li>
 Annual Bonus
 </li>
 </ul>
</div>

Pre Sales Senior Engineer

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