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Mindstream

<p>We&rsquo;re Hiring! | SAP Solution Architect (SAP Suite, HANA, ARIBA, SuccessFactors):<br/>Location: Qatar<br/>Experience: 8&ndash;12 years (preferred)<br/>Duration: 1 year (extendable)<br/>Key Responsibilities:<br/>Lead as an SAP Solution Architect across full lifecycle implementations.<br/>Apply deep knowledge of SAP Suite, HANA, ARIBA, and SuccessFactors to design and deliver scalable solutions.<br/>Ensure seamless system integration while aligning with enterprise architecture principles.<br/>Provide hands-on expertise in SAP cloud solutions and hybrid landscapes.<br/>Oversee data management, security, and performance optimization within SAP environments.<br/>Drive SAP rollout projects and prepare global master data templates.<br/>Collaborate effectively with stakeholders, ensuring strong communication and problem-solving outcomes.<br/>Preferred Certifications:<br/>SAP Certified Technology Associate / Solution Architect<br/>TOGAF or equivalent enterprise architecture certification</p><p>Job Type: Full-time</p>

SAP Solution Architect (SAP Suite, HANA, ARIBA, SuccessFactors)

Arcus Search

<div>
 <p>
  Arcus Search have partnered with a Leading Consultancy in Dubai, who are looking for an
  <strong>
   Enterprise Architect
  </strong>
  to manage lead &amp; manage on their Mergers &amp; Acquisitions roadmap.
 </p>
 <p>
  <br/>
 </p>
 <p>
  Role: Enterprise Architect
 </p>
 <p>
  Location: Abu Dhabi or Dubai office
 </p>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   The role:
  </strong>
 </p>
 <p>
  <br/>
 </p>
 <p>
  You will lead technology integration and governance initiatives across mergers and acquisitions, This role will assess and design target-state architectures, ensuring seamless integration of systems, data, and processes during M&amp;A activities.
 </p>
 <p>
  <br/>
 </p>
 <p>
  The successful candidate will also establish and oversee AI adoption &amp; governance, aligning AI initiatives with business strategy. Working closely with executive leadership, the Enterprise Architect will provide clear architectural direction, manage technology risks, and ensure scalability.
 </p>
 <p>
  <br/>
 </p>
 <p>
  Experience required:
 </p>
 <ul>
  <li>
   3+ years within M&amp;A
  </li>
  <li>
   Experience spanning multiple architectural domains, including data, application portfolios, infrastructure, and solution delivery
  </li>
  <li>
   Working knowledge of EA best practices &amp; frameworks including ITIL, PMBOK and COBIT
  </li>
  <li>
   An ability to gain influence within a complex ecosystem
  </li>
 </ul>
 <p>
  <br/>
 </p>
 <p>
  If interested, please apply below with your CV. Please note, you must have M&amp;A experience to be considered.
 </p>
</div>


Enterprise Architect - M&A

Capgemini

<div>
 <p>
  <strong>
   SAP BODS Developer
  </strong>
 </p>
 <p>
  Capgemini &ndash; Data Engineering Team
 </p>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   Position Overview
  </strong>
 </p>
 <p>
  Capgemini is seeking a highly skilled and experienced SAP BODS Developer with hands-on expertise to join our Data Engineering practice. This role demands a deep understanding of SAP BusinessObjects Data Services (BODS), strong ETL capabilities, and a passion for delivering high-quality data solutions to our global clients. The ideal candidate will demonstrate strong technical acumen, a collaborative mindset, and a willingness to continuously learn and adapt within a fast-paced environment.
 </p>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   Key Responsibilities
  </strong>
 </p>
 <ul>
  <li>
   Design, develop, and maintain ETL solutions using SAP BusinessObjects Data Services (BODS), ensuring best practices and industry standards are adhered to.
  </li>
  <li>
   Architect, configure, and optimize SAP BODS environments&mdash;including understanding system architecture, components, and project organization.
  </li>
  <li>
   Build robust data flows and workflows within BODS Designer, organizing projects for clarity, scalability, and maintainability.
  </li>
  <li>
   Create, schedule, and troubleshoot batch jobs to ensure timely and accurate data integration across multiple systems and sources.
  </li>
  <li>
   Leverage Data Integrator and Platform Transforms (lookup, merge, validation, etc.) to meet complex business and technical requirements.
  </li>
  <li>
   Implement and monitor data quality transforms, ensuring clean, reliable, and accurate data throughout the ETL lifecycle.
  </li>
  <li>
   Utilize functions, scripts, and variables within BODS for dynamic data manipulation and to support advanced transformation logic.
  </li>
  <li>
   Perform thorough data profiling and assessment to identify data issues, inconsistencies, and opportunities for data quality improvement.
  </li>
  <li>
   Design and implement robust error and exception handling mechanisms within ETL processes to ensure resilience and reliability.
  </li>
  <li>
   Develop and optimize complex SQL and Oracle queries, including views and stored procedures, ensuring efficient data extraction and transformation.
  </li>
  <li>
   Collaborate with BI/reporting teams, maintaining basic familiarity with reporting tools such as SAP BO, Tableau, or Power BI to support downstream analytics requirements.
  </li>
  <li>
   Apply performance tuning and optimization techniques to enhance ETL job efficiency, minimize runtime, and ensure scalability.
  </li>
  <li>
   Demonstrate a proactive approach to learning new technologies and cross-skilling across domains, contributing to a culture of continuous improvement within the team.
  </li>
 </ul>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   Must-Have Skills &amp; Experience
  </strong>
 </p>
 <ul>
  <li>
   Extensive SAP BODS Expertise: In-depth knowledge of SAP BusinessObjects Data Services, its architecture, and its core components.
  </li>
  <li>
   BODS Designer Proficiency: Expert in data flows, workflows, and advanced project organization within BODS Designer.
  </li>
  <li>
   Batch Job Management: Proven ability to create, schedule, and troubleshoot batch jobs for high-volume data integration.
  </li>
  <li>
   Transformations Knowledge: Solid experience with Data Integrator and Platform Transforms such as lookup, merge, and validation transforms.
  </li>
  <li>
   Data Quality Implementation: Capability to define and apply data quality transforms to ensure data accuracy and reliability.
  </li>
  <li>
   Scripting &amp; Functions: Proficient in BODS scripting, functions, and variable handling for dynamic ETL logic.
  </li>
  <li>
   Data Assessment Skills: Skilled in data profiling, data quality assessment, and remediation of identified data issues.
  </li>
  <li>
   Error &amp; Exception Handling: Experience in designing resilient error and exception handling processes within ETL workflows.
  </li>
  <li>
   SQL/Oracle Expertise: Strong command of SQL and Oracle database concepts, query performance tuning, and complex stored procedure development.
  </li>
  <li>
   Reporting Tools Awareness: Familiarity with BI/reporting solutions (SAP BO, Tableau, Power BI) to understand integration requirements.
  </li>
  <li>
   Performance Optimization: Knowledge of ETL performance tuning techniques and experience in optimizing large-scale data flows.
  </li>
  <li>
   Learning Mindset: Demonstrated willingness to learn new tools and technologies, and ability to cross-skill as needed.
  </li>
 </ul>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   Education &amp; Professional Qualifications
  </strong>
 </p>
 <ul>
  <li>
   Bachelor&rsquo;s or Master&rsquo;s degree in Computer Science, Information Technology, Engineering, or a related discipline.
  </li>
  <li>
   Relevant certifications in SAP BODS and/or Oracle databases are an advantage.
  </li>
 </ul>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   Preferred Attributes
  </strong>
 </p>
 <ul>
  <li>
   Strong analytical and problem-solving skills with the ability to work independently and collaboratively.
  </li>
  <li>
   Excellent written and verbal communication skills to effectively interact with technical and non-technical stakeholders.
  </li>
  <li>
   Prior experience working in an Agile or DevOps environment is a plus.
  </li>
  <li>
   Experience in the consulting, financial services, or technology sectors is desirable.
  </li>
 </ul>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   About Capgemini
  </strong>
 </p>
 <p>
  Capgemini is a global leader in consulting, digital transformation, technology, and engineering services. We are driven by the conviction that the business value of technology comes from and through people. At Capgemini, you&rsquo;ll be part of a dynamic and inclusive team, working on innovative projects that shape the future of data-driven enterprises.
 </p>
</div>


SAP BODS Data Engineer

<div><div><b>About the job you are considering
</b></div><div><b>Choosing Capgemini means choosing a company where you will be empowered to shape your career in the way you&rsquo;d like, where you&rsquo;ll be supported and inspired by a collaborative community of colleagues around the world, and where you&rsquo;ll be able to reimagine what&rsquo;s possible. Join us and help the world&rsquo;s leading organizations unlock the value of technology and build a more sustainable, more inclusive world.<br>
</b></div><div></div><div><b>Your Role
</b></div><ul><li><b>Design, develop, and maintain ETL solutions using SAP BusinessObjects Data Services (BODS), ensuring best practices and industry standards are adhered to.
</b></li><li><b>Architect, configure, and optimize SAP BODS environments&mdash;including understanding system architecture, components, and project organization.
</b></li><li><b>Build robust data flows and workflows within BODS Designer, organizing projects for clarity, scalability, and maintainability.
</b></li><li><b>Create, schedule, and troubleshoot batch jobs to ensure timely and accurate data integration across multiple systems and sources.
</b></li><li><b>Leverage Data Integrator and Platform Transforms (lookup, merge, validation, etc.) to meet complex business and technical requirements.
</b></li><li><b>Implement and monitor data quality transforms, ensuring clean, reliable, and accurate data throughout the ETL lifecycle.
</b></li><li><b>Utilize functions, scripts, and variables within BODS for dynamic data manipulation and to support advanced transformation logic.
</b></li><li><b>Perform thorough data profiling and assessment to identify data issues, inconsistencies, and opportunities for data quality improvement.
</b></li><li><b>Design and implement robust error and exception handling mechanisms within ETL processes to ensure resilience and reliability.
</b></li><li><b>Develop and optimize complex SQL and Oracle queries, including views and stored procedures, ensuring efficient data extraction and transformation.
</b></li><li><b>Collaborate with BI/reporting teams, maintaining basic familiarity with reporting tools such as SAP BO, Tableau, or Power BI to support downstream analytics requirements.
</b></li><li><b>Apply performance tuning and optimization techniques to enhance ETL job efficiency, minimize runtime, and ensure scalability.
</b></li><li><b>Demonstrate a proactive approach to learning new technologies and cross-skilling across domains, contributing to a culture of continuous improvement within the team.
</b></li></ul><div><b>Your Skills and Experience<br>
</b></div><div></div><ul><li><b>Extensive SAP BODS Expertise: In-depth knowledge of SAP BusinessObjects Data Services, its architecture, and its core components.
</b></li><li><b>BODS Designer Proficiency: Expert in data flows, workflows, and advanced project organization within BODS Designer.
</b></li><li><b>Batch Job Management: Proven ability to create, schedule, and troubleshoot batch jobs for high-volume data integration.
</b></li><li><b>Transformations Knowledge: Solid experience with Data Integrator and Platform Transforms such as lookup, merge, and validation transforms.
</b></li><li><b>Data Quality Implementation: Capability to define and apply data quality transforms to ensure data accuracy and reliability.
</b></li><li><b>Scripting &amp; Functions: Proficient in BODS scripting, functions, and variable handling for dynamic ETL logic.
</b></li><li><b>Data Assessment Skills: Skilled in data profiling, data quality assessment, and remediation of identified data issues.
</b></li><li><b>Error &amp; Exception Handling: Experience in designing resilient error and exception handling processes within ETL workflows.
</b></li><li><b>SQL/Oracle Expertise: Strong command of SQL and Oracle database concepts, query performance tuning, and complex stored procedure development.
</b></li><li><b>Reporting Tools Awareness: Familiarity with BI/reporting solutions (SAP BO, Tableau, Power BI) to understand integration requirements.
</b></li><li><b>Performance Optimization: Knowledge of ETL performance tuning techniques and experience in optimizing large-scale data flows.
</b></li><li><b>Learning Mindset: Demonstrated willingness to learn new tools and technologies, and ability to cross-skill as needed.
</b></li><li><b>Bachelor&rsquo;s or Master&rsquo;s degree in Computer Science, Information Technology, Engineering, or a related discipline.
</b></li><li><b>Relevant certifications in SAP BODS and/or Oracle databases are an advantage
</b></li></ul><div></div><div><b>Why you should consider Capgemini<br>
</b></div><div></div><div><b>Growing clients&rsquo; businesses while building a more sustainable, more inclusive future is a tough ask. When you join Capgemini, you&rsquo;ll join a thriving company and become part of a diverse collective of free-thinkers, entrepreneurs and industry experts. We find new ways technology can help us reimagine what&rsquo;s possible. It&rsquo;s why, together, we seek out opportunities that will transform the world&rsquo;s leading businesses, and it&rsquo;s how you&rsquo;ll gain the experiences and connections you need to shape your future. By learning from each other every day, sharing knowledge, and always pushing yourself to do better, you&rsquo;ll build the skills you want. You&rsquo;ll use your skills to help our clients leverage technology to innovate and grow their business. So, it might not always be easy, but making the world a better place rarely is.<br>
</b></div><div></div><div><b>About Capgemini<br>
</b></div><div></div><div><b>Capgemini is a global business and technology transformation partner, helping organizations to accelerate their dual transition to a digital and sustainable world, while creating tangible impact for enterprises and society. It is a responsible and diverse group of 340,000 team members in more than 50 countries. With its strong over 55-year heritage, Capgemini is trusted by its clients to unlock the value of technology to address the entire breadth of their business needs. It delivers end-to-end services and solutions leveraging strengths from strategy and design to engineering, all fueled by its market leading capabilities in AI, cloud and data, combined with its deep industry expertise and partner ecosystem. The Group reported 2023 global revenues of &euro;22.5 billion.
</b></div><p><b>#GetTheFutureYouWant </b><b>| </b><b>www.capgemini.com</b></p></div>

HireWand Technologies

<p></p><div><p><b>Job Title: Vertica Data Engineer</b></p>
<p><b>Job Location: Dubai</b></p>
<p><b>Job Type: Contract (</b><b>6 months and extendable if the work is satisfactory)</b></p><br>
<p></p><br>
<br>
<p><b>Job Brief</b></p>
<p>We are looking for a talented <b>Vertica Data Engineer</b> to join our growing team. In this role, you will design, build, and manage powerful data systems using Vertica. You will work closely with our data scientists, analysts, and developers to ensure data flows smoothly, is accurate, and is ready for fast use. You will also help move data from Oracle and SQL Server to Vertica on time. Your work will help our business make smart decisions quickly and confidently.</p><br>
<p></p><br>
<br>
<p><b>Responsibilities</b></p>
<ul><li>Design and set up strong data pipelines to bring data into Vertica from different sources using tools like SAP BODS and Informatica.</li>
<li>Build and maintain data models for fast and smooth data use in Vertica.</li>
<li>Migrate data from Oracle, SQL Server, or SQLite to Vertica.</li>
<li>Write functions and procedures to prepare data for business needs.</li>
<li>Work with data scientists and analysts to provide the right data for their projects.</li>
<li>Set up checks to make sure data is correct and reliable.</li>
<li>Use VerticaPy with machine learning tools for data science projects.</li>
<li>Partner with DevOps for smooth deployment and running of Vertica systems.</li>
<li>Improve database speed using indexing, partitioning, and tuning methods.</li>
<li>Keep track of Verticas health, fix issues, and prevent future problems.</li>
<li>Help create best practices and data governance standards for Vertica.</li>
<li>Stay updated on new Vertica and big data trends to suggest improvements.</li>
<li>Keep clear documentation of designs, flows, and systems.</li>
<li>Support users so they can use Power BI reports with ease.</li><br>
</ul><p></p><br>
<br>
<p><b>Qualifications</b></p>
<ul><li>Bachelors degree in Computer Science, IT, or a related field.</li>
<li>4+ years of experience with Vertica databases.</li>
<li>Strong skills in SQL, data modeling, and ETL processes.</li>
<li>Experience migrating data from Oracle/SQL Server to Vertica.</li>
<li>Knowledge of data warehousing concepts and best practices.</li>
<li>Experience in performance tuning for Vertica databases.</li>
<li>Familiarity with Linux, shell scripting, and other big data tools (e.g., Hadoop, Spark) is a plus.</li>
<li>Good problem-solving and communication skills.</li>
<li>Ability to work independently and handle multiple projects.</li>
<li>Vertica certification and skills in Power BI, SAP BI, SAS, or Tableau are an advantage.</li><br>
</ul><p></p><br>
<br>
<p><b>Why Join Us?</b></p>
<ul><li>Be part of a supportive and skilled team that values innovation and results.</li>
<li>Work with cutting-edge data technologies.</li>
<li>Enjoy opportunities to learn, grow, and lead in your career.</li>
<li>Your work will have a real impact on business success.</li>
<li>We value teamwork, creativity, and adaptability.</li><br>
</ul><p></p><br>
<br>
<p><b>Application Instructions</b></p>
<p>If you possess the qualifications and are driven to excel in your field, we warmly invite you to apply by sharing your updated resume at <b>resumes@empglobal.ae</b> or by applying directly through this platform.</p>
<p><i>Note: While we appreciate every application, only shortlisted candidates will be contacted. Your understanding is appreciated in this regard!</i></p></div><p></p>

Vertica Data Engineer (Migration of NIP Data to Oracle CX)

SoftwareOne

<div>Job Function: Software &amp; Cloud The role:
<div>
As a Senior Consultant for Microsoft 365 and Microsoft Security, you will play a critical role in delivering end-to-end Microsoft Cloud and Security solutions for enterprise customers. You will work closely with clients to assess, design, implement, and optimize Microsoft 365 and Microsoft Security solutions aligned with best practices, regulatory compliance, and business objectives.</div><div><b>
Key Responsibilities:</b></div><div><b>
Consulting &amp; Solution Design</b></div><ul><li>
Lead workshops and assessments to understand customer needs across Microsoft 365 (M365) and Microsoft Security stack.</li><li>
Design modern workplace solutions using Microsoft 365 E5, including Exchange Online, Teams, SharePoint Online, OneDrive, and Microsoft Entra ID (Azure AD).</li><li>
Architect and deploy Microsoft security solutions including:</li><li><ul><li>
Microsoft Defender for Endpoint, Identity, Cloud Apps, and Office 365</li><li>
Microsoft Purview for Information Protection and Data Loss Prevention</li><li>
Microsoft Sentinel for SIEM/SOAR use cases</li><li>
Entra Permissions Management, Conditional Access, and Identity Governance</li></ul></li></ul><div><b>
Implementation &amp; Delivery</b></div><ul><li>
Implement Microsoft security best practices across M365 workloads.</li><li>
Configure and deploy Intune for Endpoint Management (MEM).</li><li>
Deploy compliance, threat protection, and identity solutions for enterprise and hybrid environments.</li><li>
Execute tenant-to-tenant migrations, security posture reviews, and Zero Trust implementations.</li></ul><div><b>
Customer Engagement</b></div><ul><li>
Act as trusted advisor to enterprise clients, aligning Microsoft solutions with business strategy.</li><li>
Deliver technical documentation, runbooks, and client presentations.</li><li>
Provide training and knowledge transfer to client teams.</li></ul>
What we need to see from you:
<div><b>
Required Skills &amp; Experience:</b></div><div></div><div><br>
5+ years of hands-on experience with Microsoft 365 and Microsoft Security technologies.</div><div>
Deep technical knowledge of:</div><ul><li>
Microsoft 365 E3/E5 suite</li><li>
Microsoft Defender XDR</li><li>
Microsoft Purview compliance suite</li><li>
Microsoft Sentinel</li><li>
Intune / Endpoint Manager</li><li>
Microsoft Entra (Identity &amp; Access)</li><li>
Proven experience in delivering Microsoft security projects or assessments.</li><li>
Strong understanding of Zero Trust architecture, regulatory compliance (GDPR, HIPAA, etc.), and cloud security models.</li></ul><div><b>
Certifications (Preferred):</b></div><div><b>
Microsoft Certified:</b></div><div>
Cybersecurity Architect Expert (SC-100)</div><div>
Security Operations Analyst (SC-200)</div><div>
Information Protection Administrator (SC-400)</div><div>
Identity and Access Administrator (SC-300)</div><div>
Endpoint Administrator Associate (MD-102)</div><div>
M365 Enterprise Administrator Expert (MS-102)</div><div><b>
Soft Skills:</b></div><div>
Strong communication and stakeholder engagement abilities.</div><div>
Ability to lead client-facing engagements and present complex solutions clearly.</div><div>
Excellent problem-solving and analytical skills.</div><div>
Ability to work independently and as part of a team.</div><div><b>
Nice to Have:</b></div><div>
Experience with cross-tenant migrations</div><div>
Experience with hybrid AD environments</div><div>
Familiarity with Azure IaaS/PaaS and Defender for Cloud</div><br>
<div></div>
Why SoftwareOne?:<div></div><div><br>
SoftwareOne is a leading global software and cloud solutions provider that is redefining how companies build, buy and manage everything in the cloud. By helping clients to migrate and modernize their workloads and applications &ndash; and in parallel, to navigate and optimize the resulting software and cloud changes &ndash; SoftwareOne unlocks the value of technology. The company&rsquo;s 8,900 employees are driven to deliver a portfolio of 7,500 software brands with sales and delivery capabilities in 90 countries. Headquartered in Switzerland, SoftwareOne is listed on the SIX Swiss Exchange under the ticker symbol SWON.</div><div>
Visit us at https://www.softwareone.com/en</div></div><div></div>

Tech Lead - Digital Workplace

Delivery Hero

<div><b>Company Description</b><p><br>
Since launching in Kuwait in 2004, talabat, the leading on-demand food and Q-commerce app for everyday deliveries, has been offering convenience and reliability to its customers. talabat&rsquo;s local roots run deep, offering a real understanding of the needs of the communities we serve in eight countries across the region.<br>
</p><p>We harness innovative technology and knowledge to simplify everyday life for our customers, optimize operations for our restaurants and local shops, and provide our riders with reliable earning opportunities daily.<br>
</p><p>Here at talabat, we are building a high performance culture through engaged workforce and growing talent density. We're all about keeping it real and making a difference. Our 6,000+ strong talabaty are on an awesome mission to spread positive vibes. We are proud to be a multi great place to work award winner.</p><b><br>
Job Description</b><p><b><br>
Role Summary</b><br>
<br>
As a Senior Analytical Engineer, you will be a core member of the data architect team, responsible for transforming raw data into high-quality, actionable insights. Your mission is to build, own, and maintain the data products that power our analytics, reporting, and business decisions. You will work across the entire data lifecycle, from data ingestion to delivering final insights, ensuring data quality and governance are central to everything you build.</p><p>
This role requires a unique blend of technical expertise in data modeling, data pipelines, data quality, a strong business acumen to understand complex problems, and exceptional communication skills to collaborate with diverse teams. You will act as the key link between our data science, engineering, product, and the business, driving value by making data trustworthy and accessible.<br>
</p><p><b>What&rsquo;s On Your Plate?</b></p><p><b>
As an Analytical Engineer and Data Architect, you will be responsible for:</b></p><p><b>
1. Data Product Development &amp; Ownership</b></p><ul><li><p>
Build and Maintain: Design, build, and maintain enterprise data warehouses and analytical data marts.</p></li><li><p>
Translate Needs: Work closely with data scientists, product managers, and business teams to understand their problems and translate complex business requirements into robust data models and data products.</p></li><li><p>
End-to-End Responsibility: Take full ownership of data products from concept to production, ensuring they are scalable, reliable, and well-documented.</p></li></ul><p><b>
2. Data Quality &amp; Governance</b></p><ul><li><p>
Enhance Data Quality: Implement and enforce data quality and governance standards throughout the data pipeline, moving checks and enrichment upstream.</p></li><li><p>
Root Cause Analysis: Proactively identify data quality and governance shortfalls, perform root cause analysis, and implement solutions with monitoring mechanisms.</p></li></ul><p><b>
3. Cross-Functional Collaboration</b></p><ul><li><p>
Collaborate: Partner with data engineers to ensure smooth data ingestion from source systems and with backend engineers to define and implement data contracts.</p></li><li><p>
Consult: Serve as a subject matter expert for analytical and business teams, guiding them on best practices for data consumption and model design.</p></li></ul><p><b>
4. Data Pipeline &amp; Modeling Expertise</b></p><ul><li><p>
Pipeline Management: Design and optimize data pipelines to support data transformation, data structures, metadata, and dependency management.</p></li><li><p>
Modern Modeling: Apply a variety of data modeling techniques, including modern methods, to build efficient and flexible data solutions.</p></li></ul><b><br>
Qualifications</b><p><b><br>
What Did We Order?</b></p><ul><li><p>
Experience: 5+ years of experience in data management, with a strong focus on analytical engineering.</p></li><li><p>
Technical Skills: Advanced SQL knowledge and experience with relational and non-relational databases. Proficient in building and optimizing data pipelines and analytical data models.</p></li><li><p>
Data Modeling: Solid experience with various data modeling techniques, including modern methodologies.</p></li><li><p>
Center of Excellence: Build best practices and processes supporting data transformation, data structures, metadata, dependency, and workload management.</p></li><li><p>
Problem-Solving: A strong problem-solver with a &quot;figure it out&quot; growth mindset and a &quot;keep it simple&quot; approach.</p></li><li><p>
Collaboration: Proven ability to work effectively with cross-functional teams in a dynamic environment. Excellent collaborator and communicator who can translate business needs into technical solutions.</p></li><li><p>
Ownership: A strong sense of ownership and accountability for data products and their impact.</p></li><li><p>
Education: Bachelor's degree in engineering, computer science, technology, or a similar field.</p></li></ul></div>

Sr. Data Architect

Explore 1690+ Enterprise data architect in Dubai this September. Find roles across top companies and apply now to boost your career.

1690 enterprise data architect jobs IN Dubai

SAP Solution Architect (SAP Suite, HANA, ARIBA, SuccessFactors)

Enterprise Architect - M&A

SAP BODS Data Engineer

SAP BODS Data Engineer

Vertica Data Engineer (Migration of NIP Data to Oracle CX)

Tech Lead - Digital Workplace

Sr. Data Architect