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Datamatics Global Services Ltd

<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>
uj3kMcRSfR</div>

Senior Data Engineer

<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>

<div><h2 class="jobSectionHeader">Job Title: Data Engineer</h2>
Experience: 3&ndash;5 Years 
Location: Remote 
 
Only CV matching with JD will be Shortlisted<h3 class="jobSectionHeader">
Role Purpose</h3>
We are looking for a skilled Data Engineer to design, build, and maintain scalable data pipelines within the Azure ecosystem. You will play a key role in enabling data-driven insights by developing reliable data solutions that support analytics, reporting, and business intelligence initiatives.<h3 class="jobSectionHeader">
Key Responsibilities</h3><ul><li>
Develop and maintain ETL/ELT pipelines using Azure Data Factory (ADF)</li><li>
Work with Azure Data Lake Storage (ADLS) for data ingestion, storage, and processing</li><li>
Build and optimize data transformations using PySpark and SQL</li><li>
Integrate data from multiple structured and unstructured sources</li><li>
Ensure data quality, integrity, and consistency across pipelines</li><li>
Support implementation of Lakehouse architecture and Medallion (Bronze, Silver, Gold) layers</li><li>
Collaborate with analysts and BI teams to enable reporting and data models</li><li>
Monitor, troubleshoot, and resolve data pipeline issues</li><li>
Document data processes, workflows, and pipeline logic</li></ul><h3 class="jobSectionHeader">
Required Skills &amp; Experience (3&ndash;5 Years)</h3><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 and maintaining ETL pipelines</li><li>
Working knowledge of structured and unstructured data processing</li><li>
Basic understanding of Lakehouse architecture and Medallion framework</li><li>
Familiarity with Delta Lake concepts</li><li>
Strong problem-solving and debugging skills</li></ul><h3 class="jobSectionHeader">
Preferred Qualifications</h3><ul><li>
Experience with Azure Databricks</li><li>
Understanding of data modeling and data warehousing concepts</li><li>
Exposure to data governance and data quality frameworks</li><li>
Experience working in Agile/Scrum environments</li></ul><h3 class="jobSectionHeader">
Soft Skills</h3><ul><li>
Strong communication and stakeholder collaboration skills</li><li>
Analytical mindset with attention to detail</li><li>
Ability to work independently in a remote setup</li><li>
Team player with a proactive approach to problem-solving</li></ul><h3 class="jobSectionHeader">
Career Progression Opportunity</h3>
This role provides a pathway to grow into a Senior Data Engineer (5&ndash;10 Years) position, where responsibilities include:<ul><li>
Designing end-to-end data architectures</li><li>
Working extensively with Microsoft Fabric and advanced Azure services</li><li>
Leading data engineering initiatives and mentoring team members</li><li>
Optimizing large-scale distributed data systems</li></ul>
OkBtJaBo56</div>

Data Engineer

<div><h2 class="jobSectionHeader">Job Title: Data Engineer</h2>
Experience: 3&ndash;5 Years 
Location: Remote 
 
Only CV matching with JD will be Shortlisted<h3 class="jobSectionHeader">
Role Purpose</h3>
We are looking for a skilled Data Engineer to design, build, and maintain scalable data pipelines within the Azure ecosystem. You will play a key role in enabling data-driven insights by developing reliable data solutions that support analytics, reporting, and business intelligence initiatives.<h3 class="jobSectionHeader">
Key Responsibilities</h3><ul><li>
Develop and maintain ETL/ELT pipelines using Azure Data Factory (ADF)</li><li>
Work with Azure Data Lake Storage (ADLS) for data ingestion, storage, and processing</li><li>
Build and optimize data transformations using PySpark and SQL</li><li>
Integrate data from multiple structured and unstructured sources</li><li>
Ensure data quality, integrity, and consistency across pipelines</li><li>
Support implementation of Lakehouse architecture and Medallion (Bronze, Silver, Gold) layers</li><li>
Collaborate with analysts and BI teams to enable reporting and data models</li><li>
Monitor, troubleshoot, and resolve data pipeline issues</li><li>
Document data processes, workflows, and pipeline logic</li></ul><h3 class="jobSectionHeader">
Required Skills &amp; Experience (3&ndash;5 Years)</h3><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 and maintaining ETL pipelines</li><li>
Working knowledge of structured and unstructured data processing</li><li>
Basic understanding of Lakehouse architecture and Medallion framework</li><li>
Familiarity with Delta Lake concepts</li><li>
Strong problem-solving and debugging skills</li></ul><h3 class="jobSectionHeader">
Preferred Qualifications</h3><ul><li>
Experience with Azure Databricks</li><li>
Understanding of data modeling and data warehousing concepts</li><li>
Exposure to data governance and data quality frameworks</li><li>
Experience working in Agile/Scrum environments</li></ul><h3 class="jobSectionHeader">
Soft Skills</h3><ul><li>
Strong communication and stakeholder collaboration skills</li><li>
Analytical mindset with attention to detail</li><li>
Ability to work independently in a remote setup</li><li>
Team player with a proactive approach to problem-solving</li></ul><h3 class="jobSectionHeader">
Career Progression Opportunity</h3>
This role provides a pathway to grow into a Senior Data Engineer (5&ndash;10 Years) position, where responsibilities include:<ul><li>
Designing end-to-end data architectures</li><li>
Working extensively with Microsoft Fabric and advanced Azure services</li><li>
Leading data engineering initiatives and mentoring team members</li><li>
Optimizing large-scale distributed data systems</li></ul>
fU4mgrHxuD</div>

<div><h2 class="jobSectionHeader">Job Title: NCA Governance &amp; Management Lead (ECC, DCC)</h2>
Location: Riyadh, KSA 
Experience: 10+ Years 
Domain: Cybersecurity Governance, Risk &amp; Compliance (GRC)<h3 class="jobSectionHeader">
Role Overview</h3>
We are seeking a highly experienced NCA Governance &amp; Management Lead to drive cybersecurity governance initiatives aligned with National Cybersecurity Authority (NCA) requirements in Saudi Arabia. The role will focus on implementing and managing compliance across Essential Cybersecurity Controls (ECC) and Data Cybersecurity Controls (DCC) frameworks while ensuring alignment with international standards and regulatory requirements.<h3 class="jobSectionHeader">
Key Responsibilities</h3><ul><li>
Lead the design, implementation, and continuous improvement of cybersecurity governance frameworks aligned with NCA ECC and DCC.</li><li>
Establish and manage enterprise-wide cybersecurity policies, standards, and procedures.</li><li>
Drive NCA compliance assessments, gap analysis, and remediation planning.</li><li>
Oversee cybersecurity risk management, including identification, assessment, mitigation, and reporting.</li><li>
Ensure alignment with international standards such as ISO 27001 and global data protection regulations.</li><li>
Lead internal and external audits, including regulatory inspections and certification processes.</li><li>
Develop governance dashboards and reporting mechanisms for executive leadership.</li><li>
Collaborate with IT, security, legal, and business teams to embed security controls across the organization.</li><li>
Provide strategic guidance on data protection, privacy, and cloud security practices.</li><li>
Mentor and lead GRC teams, fostering a culture of compliance and security awareness.</li></ul><h3 class="jobSectionHeader">
Required Qualifications &amp; Certifications</h3><ul><li>
Bachelor&rsquo;s or Master&rsquo;s degree in Cybersecurity, Information Security, IT, or related field.</li><li>
Mandatory certifications (one or more preferred):<ul><li>
ISO 27001 Lead Implementer / Lead Auditor</li><li>
CISA (Certified Information Systems Auditor)</li><li>
CCSP (Certified Cloud Security Professional)</li><li>
Strong understanding of GDPR and data privacy frameworks</li></ul></li></ul><h3 class="jobSectionHeader">
Experience Requirements</h3><ul><li>
Minimum 10+ years of experience in cybersecurity, with a strong focus on governance, risk, and compliance.</li><li>
Proven hands-on experience implementing NCA ECC and DCC controls in Saudi Arabia.</li><li>
Experience working with tier-1 enterprises or leading consulting firms.</li><li>
Demonstrated success in managing large-scale compliance programs and audits.</li><li>
Exposure to multi-industry environments (e.g., government, banking, telecom, or critical infrastructure).</li></ul><h3 class="jobSectionHeader">
Key Skills &amp; Competencies</h3><ul><li>
Deep understanding of NCA frameworks (ECC, DCC) and regulatory landscape in KSA.</li><li>
Strong knowledge of ISO 27001, risk management frameworks, and control design.</li><li>
Expertise in cybersecurity governance, audit, and compliance reporting.</li><li>
Excellent stakeholder management and communication skills.</li><li>
Leadership capability to manage cross-functional teams and senior stakeholders.</li><li>
Analytical mindset with strong problem-solving and decision-making skills.</li></ul><h3 class="jobSectionHeader">
Preferred Attributes</h3><ul><li>
Experience in cloud security governance and data protection.</li><li>
Familiarity with regional regulatory requirements in the Middle East.</li><li>
Ability to operate in complex, high-stakes environments with executive visibility.</li></ul>
5gimDVWBWV</div>

NCA Governance & Management Lead (ECC, DCC)

<div><h2 class="jobSectionHeader">Job Title: Big Data Engineer 
Expericence - 5 to 8 Years - CV with relevant skills will be contacted.</h2><h3 class="jobSectionHeader">
Role Purpose</h3>
The Big Data Engineer is responsible for designing, developing, and maintaining scalable data pipelines and distributed data processing systems. This role enables efficient data ingestion, transformation, and analytics across batch and real-time environments, supporting enterprise-wide data initiatives.<h3 class="jobSectionHeader">
Key Responsibilities</h3><ul><li>
Design, develop, and maintain scalable batch and real-time data pipelines to support analytics and business intelligence use cases</li><li>
Build and manage distributed data processing solutions using Apache Hadoop and Apache Spark within Cloudera Data Platform (CDP)</li><li>
Develop and orchestrate ETL workflows using tools such as Apache NiFi</li><li>
Implement and manage real-time streaming pipelines using Apache Kafka</li><li>
Work with distributed storage systems such as Hadoop Distributed File System (HDFS)</li><li>
Utilize query engines like Apache Hive and Apache Impala for data access and analytics</li><li>
Perform data ingestion, transformation, and integration from multiple structured and unstructured enterprise data sources</li><li>
Optimize data pipelines for performance, scalability, and reliability</li><li>
Monitor and troubleshoot data workflows, ensuring high availability and data integrity</li><li>
Collaborate closely with data architects, analysts, and business stakeholders to deliver data solutions aligned with business needs</li><li>
Ensure adherence to data governance, security, and data quality standards</li><li>
Document data processes, architectures, and workflows for operational efficiency</li></ul><h3 class="jobSectionHeader">
Required Skills &amp; Experience</h3><ul><li>
5&ndash;8 years of experience in Big Data Engineering or related roles</li><li>
Strong hands-on experience with:<ul><li>
Apache Hadoop ecosystem</li><li>
Apache Spark (PySpark/Scala preferred)</li><li>
Apache Kafka (streaming)</li><li>
Apache NiFi (data ingestion/ETL)</li></ul></li><li>
Experience with Cloudera Data Platform (CDP) or similar big data platforms</li><li>
Proficiency in SQL and at least one programming language (Python, Scala, or Java)</li><li>
Solid understanding of distributed computing and parallel processing concepts</li><li>
Experience working with HDFS, Hive, and Impala</li><li>
Knowledge of data modeling, ETL design, and data warehousing concepts</li><li>
Familiarity with data governance, security, and compliance frameworks</li><li>
Strong problem-solving and performance tuning skills</li></ul><h3 class="jobSectionHeader">
Preferred Qualifications</h3><ul><li>
Experience with cloud platforms (AWS, Azure, or GCP) in big data environments</li><li>
Knowledge of containerization (Docker/Kubernetes) is a plus</li><li>
Exposure to CI/CD pipelines for data engineering workflows</li><li>
Understanding of real-time analytics and event-driven architectures</li></ul><h3 class="jobSectionHeader">
Key Competencies</h3><ul><li>
Analytical thinking and problem-solving</li><li>
Strong collaboration and communication skills</li><li>
Ability to work in fast-paced, data-driven environments</li><li>
Attention to detail and commitment to data quality</li></ul><h3 class="jobSectionHeader">
Education</h3><ul><li>
Bachelor&rsquo;s or Master&rsquo;s degree in Computer Science, Information Technology, Data Engineering, or a related field</li></ul>
x05bomsehO</div>

Big Data Engineer

<div><h2 class="jobSectionHeader">Job Title: Big Data Engineer 
Expericence - 5 to 8 Years - CV with relevant skills will be contacted.</h2><h3 class="jobSectionHeader">
Role Purpose</h3>
The Big Data Engineer is responsible for designing, developing, and maintaining scalable data pipelines and distributed data processing systems. This role enables efficient data ingestion, transformation, and analytics across batch and real-time environments, supporting enterprise-wide data initiatives.<h3 class="jobSectionHeader">
Key Responsibilities</h3><ul><li>
Design, develop, and maintain scalable batch and real-time data pipelines to support analytics and business intelligence use cases</li><li>
Build and manage distributed data processing solutions using Apache Hadoop and Apache Spark within Cloudera Data Platform (CDP)</li><li>
Develop and orchestrate ETL workflows using tools such as Apache NiFi</li><li>
Implement and manage real-time streaming pipelines using Apache Kafka</li><li>
Work with distributed storage systems such as Hadoop Distributed File System (HDFS)</li><li>
Utilize query engines like Apache Hive and Apache Impala for data access and analytics</li><li>
Perform data ingestion, transformation, and integration from multiple structured and unstructured enterprise data sources</li><li>
Optimize data pipelines for performance, scalability, and reliability</li><li>
Monitor and troubleshoot data workflows, ensuring high availability and data integrity</li><li>
Collaborate closely with data architects, analysts, and business stakeholders to deliver data solutions aligned with business needs</li><li>
Ensure adherence to data governance, security, and data quality standards</li><li>
Document data processes, architectures, and workflows for operational efficiency</li></ul><h3 class="jobSectionHeader">
Required Skills &amp; Experience</h3><ul><li>
5&ndash;8 years of experience in Big Data Engineering or related roles</li><li>
Strong hands-on experience with:<ul><li>
Apache Hadoop ecosystem</li><li>
Apache Spark (PySpark/Scala preferred)</li><li>
Apache Kafka (streaming)</li><li>
Apache NiFi (data ingestion/ETL)</li></ul></li><li>
Experience with Cloudera Data Platform (CDP) or similar big data platforms</li><li>
Proficiency in SQL and at least one programming language (Python, Scala, or Java)</li><li>
Solid understanding of distributed computing and parallel processing concepts</li><li>
Experience working with HDFS, Hive, and Impala</li><li>
Knowledge of data modeling, ETL design, and data warehousing concepts</li><li>
Familiarity with data governance, security, and compliance frameworks</li><li>
Strong problem-solving and performance tuning skills</li></ul><h3 class="jobSectionHeader">
Preferred Qualifications</h3><ul><li>
Experience with cloud platforms (AWS, Azure, or GCP) in big data environments</li><li>
Knowledge of containerization (Docker/Kubernetes) is a plus</li><li>
Exposure to CI/CD pipelines for data engineering workflows</li><li>
Understanding of real-time analytics and event-driven architectures</li></ul><h3 class="jobSectionHeader">
Key Competencies</h3><ul><li>
Analytical thinking and problem-solving</li><li>
Strong collaboration and communication skills</li><li>
Ability to work in fast-paced, data-driven environments</li><li>
Attention to detail and commitment to data quality</li></ul><h3 class="jobSectionHeader">
Education</h3><ul><li>
Bachelor&rsquo;s or Master&rsquo;s degree in Computer Science, Information Technology, Data Engineering, or a related field</li></ul>
YJqnHxfFvr</div>

Join Datamatics Global Services Ltd and explore 31   exciting career opportunities. They're hiring for various roles with options for remote or on-site work. Apply today and become part of their innovative team.

Datamatics Global Services Ltd

About Company

Senior Data Engineer

Senior Data Engineer

Data Engineer

Data Engineer

NCA Governance & Management Lead (ECC, DCC)

Big Data Engineer

Big Data Engineer