data platform engineer

MENA Consultant

<div>Location: Riyadh, KSA. 
Working Arrangement: on-site. 
Language Requirements: Fluency in Arabic &amp; English (written and spoken). 
Nationalities: Saudi nationals. 
We are seeking a Saudi National Data Engineer &ndash; Cloudera to support the ongoing operations, monitoring, and maintenance of an existing Cloudera data platform and its associated data pipelines. The role will focus on ensuring platform stability, resolving operational issues, supporting data quality and security, and implementing enhancements to maintain reliable, secure, and efficient data platform operations.<h2 class="jobSectionHeader">
Key Requirements</h2><ul><li>
Saudi National.</li><li>
Proven experience supporting Cloudera Data Platform (CDP).</li></ul><h2 class="jobSectionHeader">
Other Qualifications</h2><ul><li>
Bachelor's degree in Computer Science, Information Technology, Data Engineering, Software Engineering, or a related field.</li><li>
Strong analytical and troubleshooting skills.</li><li>
Excellent documentation and reporting capabilities.</li><li>
Strong communication and stakeholder coordination skills.</li></ul><h2 class="jobSectionHeader">
Key Responsibilities</h2><ul><li>
Monitor and support the day-to-day operations of the Cloudera data platform and associated data pipelines.</li><li>
Track batch and real-time job executions and ensure successful processing.</li><li>
Investigate operational issues, perform root cause analysis, and implement corrective actions.</li><li>
Maintain platform availability and ensure compliance with defined SLAs.</li><li>
Implement minor enhancements, fixes, and operational improvements to existing data pipelines.</li><li>
Monitor data quality and support data validation activities.</li><li>
Manage user access requests and support data security and governance controls.</li><li>
Maintain operational documentation, runbooks, and support procedures.</li><li>
Collaborate with infrastructure, governance, and data engineering teams to ensure reliable platform operations.</li><li>
Contribute to continuous improvement initiatives to enhance platform stability, performance, and operational efficiency.</li></ul></div>

Data Engineer – Cloudera

Cognizant

Role Overview
 As a Senior Data Engineer / Tech Lead, you will design, develop, and optimize scalable, enterprise-grade cloud-native data platforms and pipelines on the Microsoft Azure ecosystem . You will possess deep technical ownership and be responsible for implementing modern data architectures (such as Lakehouse and Medallion architecture) . This role requires close collaboration with architects, business analysts, and downstream data consumers to translate complex business requirements into high-performing and secure data solutions.
 
Key Responsibilities
 1.Data Pipeline Design & Orchestration (ADF)
 <ul>
<li>Design, build, and maintain complex, scalable ETL/ELT pipelines using Azure Data Factory (ADF) to ingest heterogeneous data from diverse sources (APIs, SFTP, Oracle Fusion, SQL Server, Event Hubs, etc.)</li>
<li>Implement parameter-driven dynamic pipelines, custom activities, and robust scheduling triggers</li>
<li>Configure and manage Integration Runtimes (Self-Hosted and Azure IR) for secure and efficient on-premise to cloud data movement</li>
</ul>
2.Advanced Big Data Processing (Azure Databricks)
 <ul>
<li>Develop high-performance batch and real-time streaming data pipelines using Azure Databricks, PySpark, Spark SQL, or Scala</li>
<li>Implement Medallion Architecture (Bronze, Silver, and Gold layers) and maintain modern Lakehouse architectures utilizing Delta Lake</li>
<li>Optimize Spark compute usage through parameter-driven jobs, proper cluster scaling, and Databricks serverless compute configurations</li>
<li>Perform deep performance tuning, query optimization, and memory management of heavy Spark workloads</li>
</ul>
3.Data Warehousing & Modeling
 <ul>
<li>Design and refine data models including dimensional modeling, star schemas, and Slowly Changing Dimensions (SCDs)</li>
<li>Optimize databases by writing complex, performant T-SQL queries, stored procedures, and schemas on Azure SQL Database or Azure Synapse Analytics</li>
</ul>
4.Data Governance, Security & DevOps
 <ul>
<li>Enforce data governance, lineage, and access controls across the platform utilizing Unity Catalog .</li>
<li>Secure data architectures utilizing Azure Key Vault, Managed Identities, Service Principals, and VNET-integrated environments</li>
<li>Implement CI/CD pipelines using Git and Azure DevOps to automate database and pipeline deployments</li>
</ul>
5.Leadership & Collaboration
 <ul>
<li>Provide technical mentorship and guidance to junior developers and QA teams</li>
<li>Enforce engineering discipline through standard code reviews, structured pre/post-deployment validations, and thorough documentation</li>
</ul>
Required Skills & Qualifications
 <ul>
<li>Overall Experience: Minimum of 8+ years of professional experience in Data Engineering or Data Warehousing</li>
<li>Azure Experience: 4+ years of dedicated, hands-on experience designing and operating modern data platforms on Microsoft Azure</li>
<li>Programming Languages: Proficient in Python/PySpark, SQL (advanced query optimization, indexing, stored procedures), and optionally Scala</li>
<li>Core Azure Stack: Extensive knowledge of Azure Data Factory, ADLS Gen2, Azure Databricks (Delta Lake), Azure SQL Database, and Azure Synapse Analytics</li>
<li>Big Data Concepts: Robust understanding of Apache Spark architecture, distributed computing, and the Hadoop ecosystem</li>
<li>Data Integration: Strong background in CDC (Change Data Capture) mechanisms, API integrations, and event-driven data streaming (e.g., Event Hubs/Kafka)</li>
<li>Soft Skills: Excellent analytical capabilities, strong documentation skills, and the ability to articulate technical strategies to non-technical business partners</li>
</ul>
Preferred / "Good-to-Have" Qualifications
 <ul>
<li>Certifications: Microsoft Certified: Azure Data Engineer Associate (DP-203), Azure Solutions Architect Expert, or Databricks Certified Associate/Professional</li>
<li>Cloud Platforms: Exposure to multi-cloud environments (e.g., Google Cloud Platform or AWS)</li>
<li>IaC: Experience using Infrastructure as Code (IaC) tools like Terraform or ARM Templates to deploy Azure resources</li>
</ul>

Architect

NextEra

<div>
 
 Dear All,
 
 
 
 
 
 
 NextEra is
 
 looking for
 
 dynamic
 
 resources in
 
 IT-Site Reliability Engineer
 
 role.
 
 
 
 
 
 
 Role Title:
 
 Site Reliability Engineer &ndash; L2 Support
 
 
 
 Function:
 
 Cloud &amp; Infrastructure Operations / Managed Services
 
 
 
 Role Level:
 
 L2 Technical Support
 
 
 
 Location:
 
 Riyadh
 
 
 
 
 
 The SRE L2 Support Engineer will be responsible for maintaining the reliability, availability, performance, and operational stability of business-critical applications and platform services hosted across GCP, OCI, Kubernetes, network services, Kafka, Redis, S3-compatible storage, event bus, databases, and open-source observability platforms. The role requires hands-on experience in incident management, monitoring, troubleshooting, service restoration, automation support, and operational governance using Grafana, Tempo, Loki, Prometheus, and related open-source ecosystem tools. The engineer will work closely with L1 support, L3/platform engineering teams, application teams, cloud teams, database teams, network teams, and customer stakeholders to ensure timely incident resolution, proactive problem management, and continuous improvement of service reliability.
 
 
 
 Key Responsibilities
 
 
 <ul>
 <li>
 Provide L2-level support for incidents, service requests, alerts, and operational issues across GCP, OCI, Kubernetes, network services, Kafka, Redis, S3-compatible storage, event bus, databases, and open-source observability platforms.
 </li>
 <li>
 Own incident triage, technical investigation, service restoration, escalation coordination, and closure documentation for priority incidents within agreed service levels.
 </li>
 <li>
 Perform deep-dive troubleshooting using metrics, logs, traces, dashboards, events, Kubernetes health data, cloud service telemetry, database alerts, Kafka lag indicators, Redis metrics, storage events, and network diagnostics.
 </li>
 <li>
 Monitor service availability, latency, error rates, saturation, capacity trends, pod health, node health, cluster resource utilization, Kafka consumer lag, Redis performance, database availability, object storage health, event bus failures, and network connectivity using Grafana, Prometheus, Loki, and Tempo.
 </li>
 <li>
 Support major incident management by providing technical analysis, impact assessment, workaround recommendations, timeline inputs, and post-incident review data for cloud, container, messaging, caching, storage, database, and network service issues.
 </li>
 <li>
 Coordinate with L1 teams for alert validation, ticket enrichment, runbook adherence, initial diagnostics, and handover of evidence before L2 engagement.
 </li>
 <li>
 Escalate complex issues to L3 engineering, platform engineering, Kubernetes administrators, cloud operations teams, database administrators, network teams, or product vendors with clear technical evidence and impact details.
 </li>
 <li>
 Execute approved operational tasks including service restarts, pod restarts, deployment validation, namespace checks, log review, configuration verification, certificate checks, storage access validation, Kafka topic and consumer checks, Redis health checks, database connectivity checks, network route validation, and scheduled health checks.
 </li>
 <li>
 Identify recurring incidents and contribute to problem management by performing root cause analysis, documenting known errors, creating corrective actions, and recommending permanent fixes.
 </li>
 <li>
 Create, update, and maintain SOPs, knowledge articles, troubleshooting guides, operational runbooks, alert response guides, and shift handover documentation for the defined technology stack.
 </li>
 <li>
 Support automation and standardization of repetitive operational tasks such as health checks, alert enrichment, log collection, Kubernetes diagnostics, cloud resource checks, Kafka status checks, Redis checks, storage validation, and database connectivity validation.
 </li>
 <li>
 Participate in change implementation support, pre-change validation, post-change monitoring, deployment verification, rollback support, and production readiness checks for GCP, OCI, Kubernetes, messaging, caching, storage, database, and observability changes.
 </li>
 <li>
 Ensure compliance with incident, problem, change, release, access, security, and operational governance processes within the defined SRE operating model.
 </li>
 <li>
 Prepare daily, weekly, and monthly operational reports covering incident trends, SLA performance, recurring issues, capacity observations, observability gaps, automation opportunities, and service improvement actions.
 </li>
 <li>
 Work in rotational shifts, on-call support, weekend support, or extended support windows based on business and client requirements.
 </li>
 </ul>
 
 
 Required Technical Skills
 
 
 <ul>
 <li>
 Strong understanding of SRE principles including reliability, availability, scalability, observability, toil reduction, incident response, service-level objectives, and error-budget awareness.
 </li>
 <li>
 Hands-on experience in L2 production support, platform support, cloud operations, Kubernetes operations, or managed services support.
 </li>
 <li>
 Working knowledge of GCP and OCI services, including compute, storage, networking, identity, monitoring, logging, service health, and operational troubleshooting.
 </li>
 <li>
 Hands-on understanding of Kubernetes concepts including clusters, nodes, namespaces, pods, deployments, services, ingress, config maps, secrets, persistent volumes, resource limits, events, logs, and basic troubleshooting commands.
 </li>
 <li>
 Knowledge of network services including DNS, load balancers, firewalls, routing, connectivity checks, certificates, ports, latency, packet loss, and service reachability troubleshooting.
 </li>
 <li>
 Experience supporting Kafka, including topic validation, broker health checks, consumer group status, consumer lag analysis, producer and consumer connectivity, and event streaming issue triage.
 </li>
 <li>
 Experience supporting Redis, including cache availability checks, memory utilization, latency, connection issues, keyspace checks, replication status, and basic performance troubleshooting.
 </li>
 <li>
 Understanding of S3-compatible storage, including bucket access, object availability, permissions, lifecycle behavior, storage events, data transfer failures, and application integration issues.
 </li>
 <li>
 Working knowledge of event bus platforms and event-driven architectures, including event publishing, subscription failures, message routing, retry behaviour, dead-letter handling, and integration troubleshooting.
 </li>
 <li>
 Basic understanding of relational and NoSQL databases, including connectivity checks, query execution validation, job status validation, performance alerts, backup status, replication status, and database availability analysis.
 </li>
 <li>
 Hands-on experience with Grafana for dashboard review, alert visualization, service health monitoring, and operational reporting.
 </li>
 <li>
 Experience using Prometheus for metrics collection, alert rule validation, service target health, scrape status checks, and metric-based troubleshooting.
 </li>
 <li>
 Experience using Loki for log search, log correlation, application log analysis, infrastructure log review, and incident investigation.
 </li>
 <li>
 Experience using Tempo for distributed trace analysis, request flow review, latency investigation, dependency mapping, and transaction-level troubleshooting.
 </li>
 <li>
 Good working knowledge of the open-source ecosystem used in cloud-native operations, observability, automation, container platforms, logging, tracing, monitoring, and service reliability engineering.
 </li>
 <li>
 Ability to analyze logs, metrics, traces, alerts, dashboards, events, and performance indicators to isolate technical issues and support timely service restoration.
 </li>
 </ul>
 
 
 Experience and Qualifications
 
 
 <ul>
 <li>
 3&ndash;6 years of experience in SRE, platform support, cloud operations, Kubernetes operations, application production support, or managed services support.
 </li>
 <li>
 Bachelor&rsquo;s degree in Computer Science, Information Technology, Engineering, or a related discipline.
 </li>
 <li>
 Experience supporting business-critical production environments with defined SLA, OLA, escalation, and operational governance processes.
 </li>
 <li>
 Exposure to 24x7 support models, shift operations, major incident calls, client-facing operations, and cross-functional technical coordination.
 </li>
 <li>
 Preferred certifications include Google Cloud Associate Cloud Engineer, Google Cloud Professional Cloud DevOps Engineer, OCI Foundations Associate, OCI Architect Associate, Certified Kubernetes Administrator, Certified Kubernetes Application Developer, Kubernetes and Cloud Native Associate, Prometheus/Grafana observability training, SRE Foundation, or ITIL Foundation.
 </li>
 </ul>
 
 
 Behavioral and Operational Competencies
 
 
 <ul>
 <li>
 Strong analytical thinking and structured troubleshooting approach across cloud, Kubernetes, network, database, messaging, caching, storage, and observability layers.
 </li>
 <li>
 Ability to work under pressure during high-severity incidents, production outages, cloud service degradation, Kubernetes failures, Kafka issues, Redis issues, database issues, storage access failures, and network connectivity problems.
 </li>
 <li>
 Ability to prioritize multiple incidents, alerts, requests, platform issues, and operational tasks in a time-sensitive environment.
 </li>
 <li>
 Good collaboration skills across L1, L2, L3, platform engineering, cloud, Kubernetes, network, database, application, and vendor teams.
 </li>
 <li>
 Willingness to learn and continuously improve skills across GCP, OCI, Kubernetes, Kafka, Redis, S3-compatible storage, event bus, databases, Grafana, Tempo, Loki, Prometheus, and the wider open-source ecosystem.
 </li>
 </ul>
 
 
 Key Deliverables and Success Measures
 
 
 <ul>
 <li>
 Timely resolution of L2 incidents within agreed SLA and OLA targets across GCP, OCI, Kubernetes, network services, Kafka, Redis, S3-compatible storage, event bus, databases, and observability platforms.
 </li>
 <li>
 Improved service availability, reduced recurring incidents, and faster mean time to restore service across the defined SRE support landscape.
 </li>
 <li>
 High-quality incident documentation, RCA inputs, runbooks, SOPs, alert response guides, and knowledge articles for the supported technology stack.
 </li>
 </ul>
 
 
 
</div>

Application Engineer

Datamatics Global Services Ltd

<div><h1 class="jobSectionHeader">Job Description: Analytics &amp; Transformation Engineer</h1>
Job Title: Analytics &amp; Transformation Engineer 
Experience: 3&ndash;11 Years 
Location: Riyadh - Onsite 
Employment Type: Full-Time<h2 class="jobSectionHeader">
Job Overview</h2>
We are seeking an experienced Analytics &amp; Transformation Engineer with 3&ndash;11 years of experience to drive data-driven transformation initiatives through advanced analytics, reporting, measurement frameworks, and business intelligence solutions. The ideal candidate will have expertise in dashboard development, semantic modeling, behavioral analytics, experimentation, and analytics implementation processes. This role requires strong analytical thinking and the ability to translate business objectives into measurable data solutions.<h2 class="jobSectionHeader">
Key Responsibilities</h2><ul><li>
Design and develop scalable analytics solutions to support business transformation initiatives.</li><li>
Build executive dashboards, reports, and analytical models to enable data-driven decision-making.</li><li>
Develop and maintain semantic models, metrics frameworks, and reporting standards.</li><li>
Perform behavioral analytics to understand user journeys, engagement patterns, and business performance.</li><li>
Define and implement event tracking strategies, analytics taxonomies, and measurement frameworks.</li><li>
Collaborate with product, engineering, marketing, and business teams to establish data-driven processes.</li><li>
Perform tracking implementation QA and ensure accuracy of analytics data collection.</li><li>
Conduct A/B testing analysis and evaluate the impact of product and business changes.</li><li>
Perform post-launch transaction analysis and ensure analytics readiness for new initiatives.</li><li>
Identify opportunities for process optimization and business improvement through data insights.</li></ul><h2 class="jobSectionHeader">
Required Technical Skills</h2><h3 class="jobSectionHeader">
Business Intelligence &amp; Visualization</h3><ul><li>
Hands-on experience with Power BI or Tableau or Looker for dashboard creation and analytics reporting.</li><li>
Experience developing interactive dashboards, KPI reporting, and executive-level visualizations.</li></ul><h3 class="jobSectionHeader">
Data Modeling &amp; Analytics Engineering</h3><ul><li>
Strong experience with SQL and dbt for data transformation and analytics workflows.</li><li>
Experience designing and maintaining semantic models and reusable analytical datasets.</li><li>
Understanding of data modeling concepts, metrics definitions, and reporting frameworks.</li></ul><h3 class="jobSectionHeader">
Product &amp; Behavioral Analytics</h3><ul><li>
Experience with Mixpanel or Amplitude or Google Analytics or Hotjar for user behavior analysis.</li><li>
Strong understanding of behavioral analytics, user journey tracking, and engagement measurement.</li><li>
Experience defining metrics, event taxonomy planning, and tracking implementation QA.</li></ul><h3 class="jobSectionHeader">
Experimentation &amp; Measurement</h3><ul><li>
Experience designing and analyzing A/B testing initiatives.</li><li>
Ability to measure business impact through controlled experiments and analytical insights.</li><li>
Experience with post-launch analysis, transaction analysis, and performance tracking.</li></ul><h3 class="jobSectionHeader">
Reporting &amp; Productivity Tools</h3><ul><li>
Advanced proficiency in Microsoft Excel for analysis, reporting, and data validation.</li><li>
Experience working with analytics methodologies and comparable tools/platforms.</li></ul><h2 class="jobSectionHeader">
Qualifications</h2><ul><li>
Bachelor's degree in Data Analytics, Computer Science, Information Systems, Business Analytics, Statistics, or a related field.</li><li>
3&ndash;11 years of professional experience in Analytics, Business Intelligence, Data Transformation, or Product Analytics.</li><li>
Strong analytical, problem-solving, and communication skills.</li><li>
Ability to work with technical and non-technical stakeholders.</li><li>
Experience working in Agile/Scrum environments.</li></ul><h2 class="jobSectionHeader">
Preferred Skills</h2><ul><li>
Experience supporting digital transformation and product analytics initiatives.</li><li>
Knowledge of cloud data platforms such as AWS, Azure, or Google Cloud Platform.</li><li>
Familiarity with data governance, analytics standards, and measurement frameworks.</li><li>
Experience working with large-scale datasets and enterprise reporting environments.</li><li>
Certifications in analytics, BI tools, or cloud technologies are a plus.</li></ul><h2 class="jobSectionHeader">
Key Technology Stack</h2><ul><li>
Business Intelligence: Power BI or Tableau or Looker</li><li>
Analytics Engineering: dbt and SQL</li><li>
Data Modeling: Semantic Models and Metrics Frameworks</li><li>
Behavioral Analytics: Mixpanel or Amplitude or Google Analytics or Hotjar</li><li>
Product Analytics: Behavioral Analytics and Event Taxonomy Planning and A/B Testing</li><li>
Reporting &amp; Analysis: Excel and Dashboard Creation</li><li>
Analytics Operations: Tracking Implementation QA and Post-Launch Transaction Analysis Readiness</li><li>
Comparable Tools &amp; Methods: Similar analytics, BI, and transformation platforms as required by business needs</li></ul>
YIaTsfUsPM</div>

Analytics & Transformation Engineer

<div>Location: Riyadh, KSA. 
Working Arrangement: on-site. 
Language Requirements: Fluency in Arabic &amp; English (written and spoken). 
Nationalities: Saudi nationals. 
We are seeking a Saudi National Data Engineer &ndash; Talend to support the ongoing operations, maintenance, and optimization of existing Talend ETL/ELT pipelines. The role will focus on ensuring reliable data integration, troubleshooting pipeline issues, maintaining data quality, and supporting deployment and operational activities to ensure the stability and performance of enterprise data integration platforms.<h2 class="jobSectionHeader">
Key Requirements</h2><ul><li>
Saudi National.</li><li>
Proven experience working with Talend ETL/ELT tools and data integration solutions.</li></ul><h2 class="jobSectionHeader">
Other Qualifications</h2><ul><li>
Bachelor's degree in Computer Science, Information Technology, Data Engineering, Software Engineering, or a related field.</li><li>
Strong analytical and troubleshooting skills.</li><li>
Excellent documentation and reporting capabilities.</li><li>
Ability to manage multiple operational activities in a production support environment.</li></ul><h2 class="jobSectionHeader">
Key Responsibilities</h2><ul><li>
Monitor, maintain, and support Talend ETL/ELT pipelines to ensure reliable and timely data integration.</li><li>
Track job executions and resolve ETL failures, operational incidents, and performance issues.</li><li>
Perform root cause analysis and implement corrective actions to improve platform reliability.</li><li>
Resolve data quality, reconciliation, and integration issues while ensuring compliance with service level agreements.</li><li>
Develop and implement minor enhancements, workflow improvements, and performance optimizations for existing ETL processes.</li><li>
Support deployment activities and production releases for Talend jobs and workflows.</li><li>
Manage operational incidents through ticketing systems and ensure timely issue resolution.</li><li>
Ensure compliance with data governance, security, and operational standards.</li><li>
Maintain technical documentation, operational procedures, and support runbooks.</li><li>
Collaborate with data engineering, infrastructure, and governance teams to ensure stable, secure, and efficient data integration operations.</li></ul></div>

Data Engineer – Talend

Incorta

<div>
 Incorta is a next-generation data analytics and business intelligence platform that excels at rapidly delivering business value from transactional data, this is the first real breakthrough in data analytics in 20 years. We provide an integrated end-to-end data experience, from data acquisition and enrichment to visualizing and sharing results. Our platform cuts project implementation time from months to weeks provides revolutionary query speed and maintains a unified, single source of truth for multiple workloads including business intelligence, analytics, and machine learning. Fully 90% of companies that try Incorta become customers, and over 98% of our customers are still with us. Our cloud-based service widens our reach into businesses of all sizes. There is simply no other analytics solution that is as cost-effective, agile, and impactful.
 
 
 We are seeking a talented Presales Solutions Engineer to join our growing team in Saudi Arabia
 
 
 Arabia. The ideal candidate will have a strong background in Data Analytics, Data Management,
 
 
 and Data Engineering, with proven experience supporting enterprise sales cycles. Knowledge of
 
 
 Generative AI technologies and how they apply to analytics and decision-making are highly
 
 
 desirable.
 
 
 This individual will work closely with the sales team, prospects, and customers to demonstrate
 
 
 How Incorta&rsquo;s Unified Data and Analytics Platform can solve complex data challenges and
 
 
 deliver rapid business value.
 
 
 
 YOU WILL
 
 
 
 <ul>
 <li>
 Partner with Sales to deliver compelling value propositions, product demonstrations, and
 </li>
 <li>
 Proofs of Concept (POCs) to prospective customers.
 </li>
 <li>
 Lead technical discovery sessions with customers to understand their data architecture, business needs, and current pain points.
 </li>
 <li>
 Translate customer requirements into Incorta-based solutions, showcasing our Advantages in real-time data ingestion, transformation, and visualization.
 </li>
 <li>
 Build custom demos and POCs, leveraging Incorta&rsquo;s platform (including Incorta Nexus GenAI), Data Apps, and integration with source systems like Oracle, SAP, Snowflake, etc.
 </li>
 <li>
 Explain data modeling concepts, query optimization, and data pipeline architecture to both technical and business audiences.
 </li>
 <li>
 Collaborate with product and engineering teams to provide feedback from the field.
 </li>
 <li>
 Present at events, webinars, and customer workshops as a technical expert.
 </li>
 <li>
 Stay updated with data trends, GenAI developments, and regional market demands.
 </li>
 <li>
 Support RFPs/RFIs and contribute to technical proposals.
 
 
 </li>
 </ul>
 
 YOU HAVE
 
 
 
 <ul>
 <li>
 5&ndash;7 years of experience in Presales, Solutions Engineering, or related customer-facing
 </li>
 <li>
 technical roles.
 </li>
 <li>
 Strong understanding of data platforms, including data modeling, ETL/ELT pipelines, and data warehousing concepts.
 </li>
 <li>
 Familiarity with data management practices, including governance, quality, and metadata.
 </li>
 <li>
 Hands-on experience with platforms like Incorta, Snowflake, Databricks, MS Fabric, or similar is a plus.
 </li>
 <li>
 Exposure to or understanding of Generative AI (LLMs, RAG, AI copilots) in analytics is a strong plus.
 </li>
 <li>
 Strong communication and presentation skills in both English and Arabic.
 </li>
 <li>
 Bachelor's Degree in Computer Science, Engineering, Information Systems, or related field.
 
 
 </li>
 </ul>
 
 NICE TO HAVE
 
 
 
 <ul>
 <li>
 Strong SQL skills; knowledge of Python is a plus.
 </li>
 <li>
 Experience designing or presenting cloud-based architectures (AWS, GCP, Azure).
 </li>
 <li>
 Familiarity with NDMO, PDPL, or regional data regulations is a plus.
 </li>
 <li>
 Ability to engage with both technical and executive-level stakeholders.
 
 
 </li>
 </ul>
 We could tell you that we&rsquo;re building something that truly optimizes the way business intelligence is done. We could also tell you that we&rsquo;re backed by marquee VC's such as Google Ventures and Kleiner Perkins. Or even the fact that we were named one of Inc. Magazine&rsquo;s Best Workplaces of 2022 while also being the only vendor to be recognized in the 2022 Gartner&reg; Magic Quadrant&trade; and the 2022 Gartner&reg; Market Guide. All true, but the real reason you will want to come work for Incorta is that you&rsquo;ll be part of an early team that is building a game-changing analytics product that will allow companies to answer complex questions in seconds...not days or weeks like the current solutions.
 
 
 Incorta provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws.
</div>

Senior Presales Solutions Engineer

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