project engineer

estimation engineer

sales engineer

full stack developer

ai engineer

etl developer

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

Virtusa

<div>This section shall not be customised to reflect accountabilities which may be unique to one role. Please use Section 5 to capture any accountabilities specific to the role which are over and above those mentioned in this section.
<br>
Generic Accountability
<br>
Having good understanding on Siebel UCM/CRM data model and provide technical solutioning on business requirements and issues related data migration and data loading.
<br>
Perform a day-to-day operational &amp; maintenance support functions within Siebel application including issue troubleshooting, ticket resolution, provide business clarification and batch data load monitoring.
<br>
Communicate, escalate, and resolve problem ticket issues as appropriate and working with the users/stake holders in resolving incidents based on seviority.
<br>
Well aligned with ITIL process in the areas of Incident management, Change management and problem management. Specific Accountability
<br>
Should have hands on development experience in Siebel EIM , PL/SQL,Unix shell scripting and Siebel Configuration &amp; ETL tools.
<br>
Have an excellent understanding of Siebel Application data model and architecture. Understand functional requirement and convert to Siebel design and implement with Siebel technologies including Siebel UCM ,EIM, PL/SQL,Unix shell scriting and any other ETL tools such as ODI.
<br>
Should be able to build/modify batch interfaces including IFB,PL SQL views,procedures,shell scritps as per requirements and adhering to best practices. Also should be able to troubleshoot batch integration issues in production and other data related issues.
<br>
Should be able to create integration mapping document by discussing with the relevant stake holders and prepare design.
<br>
Should have strong experience in writing complex PL/SQL queries and stored procedures.Also should be able to create batch shell scripts and should be knowing the batch job scheduling machanism.
<br>
Must be able to do performance improvements by tuning long running SQL queries or EIM jobs. Should have basic Siebel configuration knowledge or joins,links etc.
<br>
Should have experience in larger data migration projects which include migrate large volume data from legacy system or with in CRM system as part of upgrade.
<br>
Preferably to have Master Data Management(Universal Customer Hub) domain experience and Data quality experience.
<br>
Preferably to have worked on Siebel IP17 or later versions and Web tools.
<br>
Knowledge of ETL Tools like ODI/Informatica and using ETL tool with Siebel EIM will be an added advantage.
<br>
Involve in production support activities including troubleshoot and resolve production issues, data quality issues, ticket resolution and BAU monitoring. Minimum Qualification
<br>
Overall 9+ years of experience working as Siebel EIM Developer and UCM knowledge.
<br>
Expertise in creation of new batch interface using ETL Tools and Siebem EIM and troubleshooting issues in production and lower environment.
<br>
Candidate must possess at least a Graduate or bachelors degree in Computer Science/Information Technology, Engineering (Computer/Telecommunication) or equivalent.<div><p><b>
About Virtusa</b></p>
<p>
Teamwork, quality of life, professional and personal development: values that Virtusa is proud to embody. When you join us, you join a team of 27,000 people globally that cares about your growth &mdash; one that seeks to provide you with exciting projects, opportunities and work with state of the art technologies throughout your career with us.</p>
<p>
Great minds, great potential: it all comes together at Virtusa. We value collaboration and the team environment of our company, and seek to provide great minds with a dynamic place to nurture new ideas and foster excellence.</p>
<p>
Virtusa was founded on principles of equal opportunity for all, and so does not discriminate on the basis of race, religion, color, sex, gender identity, sexual orientation, age, non-disqualifying physical or mental disability, national origin, veteran status or any other basis covered by appropriate law. All employment is decided on the basis of qualifications, merit, and business need.</p></div></div><p></p>

Lead - Siebel UCM EIM Developer

<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>

DP World

<div><p><b>KEY RESPONSIBILITY
</b></p><ul><li>Support the Director in building and maintaining robust data architecture and solutions
</li><li>Design, construct, install, and maintain large-scale processing systems and data pipelines
</li><li>Extract, transform, and load (ETL) data from a wide variety of sources
</li><li>Implement data governance and data quality best practices
</li><li>Assist in optimizing query performance and monitoring system health
</li><li>Collaborate with data scientists, analysts, and business teams for data enablement
</li>Document data processes and system designs for transparency and scalability<br>
<li>
</li></ul><p></p><p><b>TECHNICAL COMPETENCIES
</b></p><ul><li>Strong proficiency in SQL and data modeling
</li><li>Experience with ETL tools (e.g., Talend, Informatica, Apache NiFi)
</li><li>Knowledge of cloud platforms (AWS, Azure, or GCP) and data warehousing (e.g., Snowflake, Redshift)
</li><li>Proficiency in Python/Scala for data engineering tasks
</li><li>Understanding of CI/CD practices in data workflows
</li>Familiarity with orchestration tools (e.g., Airflow, Prefect)<br>
<li>
</li></ul><p></p><p><b>QUALIFICATIONS, EXPERIENCE AND SKILLS
</b></p><p><b>Qualification: </b>Bachelor&rsquo;s degree in Computer Science, Information Systems, or a related field
</p><p><b>Desirable Qualification: </b>Master&rsquo;s in Data Engineering, Computer Science, or related discipline
</p><p><b>Work Experience: </b>3&ndash;5 years of hands-on experience in data engineering or data infrastructure roles
</p><p><b>Technical Skills:
</b></p><ul><li>Strong proficiency in SQL and data modeling
</li><li>Experience with ETL tools (e.g., Talend, Informatica, Apache NiFi)
</li><li>Knowledge of cloud platforms (AWS, Azure, or GCP) and data warehousing (e.g., Snowflake, Redshift)
</li><li>Proficiency in Python/Scala for data engineering tasks
</li><li>Understanding of CI/CD practices in data workflows
</li>Familiarity with orchestration tools (e.g., Airflow, Prefect)<br>
<li>
</li></ul><p></p><p>#LI-RA1</p></div><p></p>

DATA ENGINEER

Jacobs

<div>
 At Jacobs, we're challenging today to reinvent tomorrow by solving the world's most critical problems for thriving cities, resilient environments, mission-critical outcomes, operational advancement, scientific discovery and cutting-edge manufacturing, turning abstract ideas into realities that transform the world for good.
 <br/>
 <br/>
 Your impact
 <br/>
 <br/>
 At Jacobs, we are building a Digital and Data capability, working to apply digital expertise to some of the most ambitious urban and infrastructure developments around the world.
 <br/>
 <br/>
 In Digital and Data we work with clients to establish their digital infrastructure needs, then develop place-based digital strategies by exploring the assets required and benefits they can bring key stakeholders. We support the design, deployment, cybersecurity and operation of networks, Smart City platforms and operational technology. In this emerging business area, we work with cities, local authorities and developer clients, leading telecom operators and investors, manufacturing clients, IoT providers and development owners.
 <br/>
 <br/>
 <strong>
  About The Opportunity
  <br/>
  <br/>
 </strong>
 We are seeking a skilled and detail-oriented Data Engineer to join our growing data team. The ideal candidate will be responsible for designing, building, and maintaining scalable data pipelines and infrastructure to support analytics and business intelligence initiatives. You will play a key role in transforming raw data into actionable insights using modern data engineering practices and tools like Fabric and Power BI.
 <br/>
 <br/>
 Key Responsibilities
 <br/>
 <br/>
 <ul>
  <li>
   Design, develop, and maintain robust ETL/ELT pipelines for data ingestion, transformation, and integration.
  </li>
  <li>
   Collaborate with data analysts, data scientists, and business stakeholders to understand data requirements and deliver high-quality data solutions.
  </li>
  <li>
   Optimize data workflows and ensure data quality, consistency, and reliability across systems.
  </li>
  <li>
   Develop and maintain data models and dashboards using Power BI to support business decision-making.
  </li>
  <li>
   Implement data governance, security, and compliance best practices.
  </li>
  <li>
   Monitor and troubleshoot data pipeline performance and resolve data-related issues.
  </li>
  <li>
   Document data processes, architecture, and workflows.
   <br/>
   <br/>
   <br/>
  </li>
 </ul>
 Here's what you'll need
 <br/>
 <br/>
 <ul>
  <li>
   Data Engineering Proficiency in SQL, Python, or Scala for data manipulation and pipeline development
  </li>
  <li>
   Data Analytics Ability to analyze large datasets and derive meaningful insights; familiarity with statistical methods and data profiling
  </li>
  <li>
   Power BI Hands-on experience in building interactive dashboards, data models, and reports using Power BI
  </li>
  <li>
   Data Transformation Strong experience with ETL/ELT tools and frameworks (e.g., Azure Data Factory, Azure Synapse, Apache)
   <br/>
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Preferred Qualifications
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Experience with cloud platforms (Fabric, Azure, Palantir Foundry)
  </li>
  <li>
   Familiarity with data warehousing concepts and tools (e.g., Snowflake, Redshift, BigQuery)
  </li>
  <li>
   Strong problem-solving skills and attention to detail
  </li>
  <li>
   Excellent communication and collaboration abilities
   <br/>
   <br/>
   <br/>
  </li>
 </ul>
 At Jacobs, from our inclusive employee networks to our positive mental health champions&mdash;we are committed to fostering a culture of care where you can truly be yourself. Joining Jacobs connects you locally and globally, leveraging our diverse perspectives and unique backgrounds to power our collective strength. We collaborate and share to ensure mutual success.
 <br/>
 <br/>
 Safety, flexibility, and professional growth remain paramount in our workplace culture. We provide flexible working arrangements, benefits, and opportunities to make a positive impact through global giving and volunteering programmes. Jacobs offers you the support and resources to maximise your potential and help clients worldwide create a better future.
 <br/>
 <br/>
 Begin your Jacobs career in an environment that inspires and empowers you to deliver your best work&mdash;today, tomorrow, and beyond.
 <br/>
 <br/>
 From our inclusive employee networks to our positive mental health champions &ndash; we&rsquo;re committed to driving a culture of caring where you can be you. Joining Jacobs not only connects you locally but globally - and together, our diverse perspectives and unique backgrounds power our collective strength. We collaborate and share! By supporting one another, we all succeed.
 <br/>
 <br/>
 With safety and flexibility always top of mind, we&rsquo;ve gone beyond traditional ways of working so you have the support, means and space to maximize your potential. You&rsquo;ll uncover flexible working arrangements, benefits and opportunities to do good too &ndash; from participating in our global giving and volunteering program, to exploring new and inventive ways to help our clients make the world a better place.
 <br/>
 <br/>
 No matter what drives you, you&rsquo;ll discover how you can cultivate, nurture and achieve your goals &ndash; all at a single global company.
 <br/>
 <br/>
 We value collaboration and believe that in-person interactions are crucial for both our culture and client delivery. We empower employees with our hybrid working policy, allowing them to split their work week between Jacobs offices/projects and remote locations enabling them to deliver their best work.
 <br/>
 <br/>
 Your application experience is important to us, and we&rsquo;re keen to adapt to make every interaction even better. If you require further support or reasonable adjustments with regards to the recruitment process (for example, you require the application form in a different format), please contact the team via Careers Support.
</div>


Data Engineer - Data Insights & AI

Mindstream

<p>We&rsquo;re Hiring! | Data Migration Specialist &ndash; SAP &amp; Oracle ERP<br/>Location: Qatar<br/>Experience: 4&ndash;8 years (preferred)<br/>Duration: 1 year (extendable)<br/>Key Responsibilities:<br/>Participate as a Data Migration team member for SAP and Oracle ERP projects.<br/>Utilize SAP Data Services (BODS) and other ETL tools to extract, transform, and load data accurately.<br/>Assist in mapping, cleansing, and validating data from legacy systems to SAP or Oracle ERP.<br/>Support the development of data migration scripts, workflows, and batch jobs.<br/>Collaborate with functional and technical teams to ensure smooth and accurate data migration.<br/>Ensure data integrity, consistency, and compliance with project requirements.</p><p>Job Type: Full-time</p><p>Application Question(s):</p><ul><li>Do you have experience in SAP Data Services (BODS) for data migration projects?</li><li>Do you have experience with ETL tools for data extraction, transformation, and loading?</li><li>Have you worked on data migration projects for SAP or Oracle ERP systems?</li><li>Do you have experience in mapping, cleansing, and validating data from legacy systems?</li><li>Have you developed data migration scripts, workflows, or batch jobs?</li><li>Are you experienced in ensuring data integrity, consistency, and compliance during migration projects?</li><li>What is your current and expected salary? Notice period?</li></ul>

Data Migration Specialist – SAP & Oracle ERP

XA Group

<div><div><div>We are seeking a Senior Data Engineer with strong expertise in ETL, Microsoft Azure, SQL, Power BI, and Power Platform automation to support our growing Data Science and Data Analytics initiatives. You will play a crucial role in developing end-to-end data pipelines, designing scalable data architectures, and enabling business process automation through Microsoft's low-code tools.</div><div>
This is a cross-functional role that requires close collaboration with data scientists, operations, platform, and business teams to deliver reliable data, actionable insights, and streamlined operations across the enterprise.</div></div>
<div><div><h3 class="jobSectionHeader"><b>Key Responsibilities:</b></h3><ul><li><ul><li><b>
Data Engineering &amp; Infrastructure:</b></li><li>
Design, build, and maintain robust data pipelines and ETL/ELT workflows using Azure Data Factory, Azure Synapse, and Azure Data Lake.</li><li>
Develop and optimize SQL queries and data transformations for efficient data processing.</li><li>
Implement and evolve python script to support reporting, analysis, and AI use cases.</li><div></div><li><b><br>
Power BI &amp; Analytics Enablement:</b></li><li>
Design, build, and maintain high-performance, scalable Power BI dashboards and datasets.</li><li>
Build optimized Power BI semantic models, define DAX measures, and publish reusable dataflows.</li><li>
Enable self-service analytics through shared datasets and clearly documented business logic.</li><div></div><li><b><br>
Power Platform Automation:</b></li><li>
Design and implement automated workflows using Power Automate to streamline repetitive business tasks and data refresh processes.</li><li>
Build lightweight internal applications using Power Apps integrated with data from SharePoint, Power BI and SQL sources.</li><li>
Integrate Power Platform tools with Azure and Office 365 for seamless business process automation.</li><div></div><li><b><br>
Azure Cloud Platform:</b></li><li>
 Deploy and manage cloud-based data solutions using Azure services including:</li><li>
o Azure SQL Database / Synapse Analytics</li><li>
o Azure Data Factory</li><li>
o Blob Storage, File Share and Key Vault</li><div></div><li><b><br>
AI Support:</b></li><li>
Provide clean, curated, and version-controlled datasets for data science experimentation and ML model training.</li><li>
Assist in feature engineering, model scoring, and deployment of analytics-ready datasets to cloud environments.</li><div></div><li><b><br>
Governance, Documentation &amp; Best Practices:</b></li><li>
Ensure compliance with data privacy, security, and governance policies.</li><li>
Implement data validation, quality checks, and monitoring in all pipelines.</li><li>
Maintain comprehensive documentation of data assets, workflows, and technical procedures.</li></ul></li></ul></div></div>
<div><div><h3 class="jobSectionHeader"><b>Required Qualifications:</b></h3><ul><li><ul><li><b>
Required Qualifications:</b></li><li>
Bachelor&rsquo;s or Master&rsquo;s degree in Computer Science, Data Engineering, Information Systems, or a related field.</li><li>
6+ years of experience in data engineering, with a strong track record supporting AI and business analytics teams.</li><li>
Advanced proficiency in SQL, including complex query writing and performance tuning.</li><li>
Proficiency in Python for data processing.</li><li>
Expertise in the Microsoft Azure ecosystem, including:</li><li>
o Azure Data Factory</li><li>
o Azure SQL / Synapse Analytics</li><li>
o Azure Data Lake Gen2</li><li>
o Azure Functions (nice to have)</li><li>
Deep experience with Power BI, including data modeling, DAX, dataflows, and dashboard development.</li><li>
Practical experience in designing and automating business workflows using Power Automate and building apps in Power Apps.</li><li>
Experience with version control systems (Git), CI/CD tools, and data pipeline monitoring solutions.</li><li>
Strong interpersonal and communication skills; ability to explain complex technical issues to non-technical stakeholders.</li></ul></li></ul></div></div><br>
<div></div>
<div><div><h3 class="jobSectionHeader"><b>
Preferred Skills:</b></h3><ul><li><ul><li>
Experience with Azure DevOps, PowerShell, or scripting for task automation.</li><li>
Knowledge of data governance tools like Azure Purview.</li><li>
Experience with Agile methodologies and working in cross-functional teams.</li></ul></li></ul></div></div></div>

Senior Data Engineer

Explore 333+ Etl developer in Dubai this September. Find roles across top companies and apply now to boost your career.

333 etl developer jobs IN Dubai

SAP BODS Data Engineer

Lead - Siebel UCM EIM Developer

SAP BODS Data Engineer

DATA ENGINEER

Data Engineer - Data Insights & AI

Data Migration Specialist – SAP & Oracle ERP

Senior Data Engineer