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aws data engineer

NorthBay Solutions

<div><h2 class="jobSectionHeader">Job Title: AWS Data Engineer</h2>
Experience: 5&ndash;8 Years 
Location: Dubai, UAE (Onsite) 
Employment Type: Full-Time<h3 class="jobSectionHeader">
Position Overview</h3>
We are looking for a skilled AWS Data Engineer to build and support cloud-based data pipelines and analytics platforms on AWS. The role focuses on hands-on development, optimization, and operational support of data processing systems.<h3 class="jobSectionHeader">
Key Responsibilities</h3><ul><li>
Develop and maintain scalable batch data pipelines on AWS</li><li>
Implement ETL/ELT jobs using AWS Glue and Spark on EMR</li><li>
Build and manage workflow orchestration using Apache Airflow (MWAA)</li><li>
Develop serverless data processing functions using AWS Lambda</li><li>
Work with Amazon Redshift for data warehousing and analytics</li><li>
Implement data storage and retrieval using Amazon DynamoDB</li><li>
Use AWS DataZone for data discovery, governance, and access control</li><li>
Monitor data pipelines and system health using Amazon CloudWatch</li><li>
Troubleshoot data processing failures and performance issues</li><li>
Collaborate with analytics, reporting, and business teams</li><li>
Follow best practices for security, scalability, and cost optimization</li></ul><h3 class="jobSectionHeader">
Required Skills &amp; Experience</h3><ul><li>
5&ndash;8 years of experience in data engineering or related roles</li><li>
Hands-on experience with:<ul><li>
AWS Glue</li><li>
Amazon EMR</li><li>
AWS Lambda</li><li>
Apache Airflow (MWAA)</li><li>
Amazon EC2</li><li>
Amazon CloudWatch</li><li>
Amazon Redshift</li><li>
Amazon DynamoDB</li><li>
AWS DataZone</li></ul></li><li>
Strong SQL and Python skills</li><li>
Experience with batch data processing and data pipeline development</li><li>
Understanding of data warehousing and ETL concepts</li><li>
Experience working in Agile delivery environments</li></ul><h3 class="jobSectionHeader">
Nice to Have</h3><ul><li>
AWS Certification</li><li>
Exposure to data governance and metadata tools</li><li>
Experience with performance tuning and cost optimization on AWS</li></ul>
QYnOF1nCwQ</div>

AWS Data Engineer

<div><h2 class="jobSectionHeader">Job Title: Senior AWS Data Engineer / Data Platform Engineer</h2>
Experience: 8+ Years 
Location: Dubai, UAE (Onsite) 
Employment Type: Full-Time<h3 class="jobSectionHeader">
Position Overview</h3>
We are seeking a highly experienced Senior AWS Data Engineer to design, build, and optimize large-scale data platforms on AWS. The ideal candidate will have deep hands-on experience with AWS data services, batch and streaming data processing, and orchestration frameworks, playing a key role in architecting and maintaining enterprise-grade data solutions.<h3 class="jobSectionHeader">
Key Responsibilities</h3><ul><li>
Design, develop, and optimize scalable data pipelines using AWS native services</li><li>
Lead the implementation of batch and near-real-time data processing solutions</li><li>
Architect and manage data ingestion, transformation, and storage layers</li><li>
Build and maintain ETL/ELT workflows using AWS Glue and Apache Spark on EMR</li><li>
Orchestrate complex data workflows using Apache Airflow (MWAA)</li><li>
Develop and manage serverless data processing using AWS Lambda</li><li>
Design and optimize data warehouses using Amazon Redshift</li><li>
Implement and manage NoSQL data models using Amazon DynamoDB</li><li>
Utilize AWS DataZone for data governance, cataloging, and access management</li><li>
Monitor, log, and troubleshoot data pipelines using Amazon CloudWatch</li><li>
Ensure data security, quality, performance, and cost optimization</li><li>
Collaborate with architects, analytics teams, and business stakeholders</li><li>
Provide technical guidance and mentorship to junior team members</li></ul><h3 class="jobSectionHeader">
Required Skills &amp; Experience</h3><ul><li>
8+ years of experience in data engineering and data platform development</li><li>
Strong hands-on experience with:<ul><li>
AWS Glue</li><li>
Amazon EMR (Spark)</li><li>
AWS Lambda</li><li>
Apache Airflow (MWAA)</li><li>
Amazon EC2</li><li>
Amazon CloudWatch</li><li>
Amazon Redshift</li><li>
Amazon DynamoDB</li><li>
AWS DataZone</li></ul></li><li>
Strong experience with batch data processing architectures</li><li>
Proficiency in SQL, Python, and Spark</li><li>
Experience working with large-scale datasets and distributed systems</li><li>
Strong understanding of data modeling, data warehousing, and ETL patterns</li><li>
Experience with CI/CD pipelines and Infrastructure as Code is a plus</li></ul><h3 class="jobSectionHeader">
Nice to Have</h3><ul><li>
AWS Certification (Data Analytics / Solutions Architect)</li><li>
Experience with data governance and metadata management</li><li>
Exposure to data lake and lakehouse architectures</li></ul>
M3Ply1KHOz</div>

Senior AWS Data Engineer / Data Platform Engineer

Deeplight

<div>DeepLight AI is a specialist AI and data consultancy with extensive experience implementing intelligent enterprise systems across multiple industries, with particular depth in financial services and banking. Our team combines deep expertise in data science, statistical modeling, AI/ML technologies, workflow automation, and systems integration with a practical understanding of complex business operations.
We are seeking a skilled AWS Glue Data Engineer to join our Data Factory Squad, responsible for migrating source systems into the Lakehouse ingestion zone. This role focuses on building scalable ingestion pipelines, optimizing performance, and ensuring compliance with architectural and data assurance standards.
You will ideally have experience working in financial services with strong experience in AWS Glue, PySpark, and ETL pipeline development.
Your responsibilities as the AWS Glue Data Engineer will include:<ul>
<li>
Data Ingestion Development</li>
<li><ul><li>Building and implementing AWS Glue jobs for Bronze layer ingestion using defined standards and templates.</li>
<li>Implementing correct loading methods based on source requirements (CDC, full load, delta, snapshot).</li>
<li>Designing and executing historical loading mechanisms to bring legacy data into the Lakehouse.</li>
</ul></li><li>Performance Optimisation</li>
<li><ul><li>Optimising Glue job performance (DPU allocation, parallelization, partitioning) according to best practices.</li>
<li>Collaborating with platform teams to ensure tooling and optimization alignment.</li>
</ul></li><li>Migration &amp; Automation</li>
<li><ul><li>Aggressively migrating source tables to Bronze layer, initially using manual approaches with standards/templates, later leveraging AI-enabled acceleration.</li>
<li>Ensuring jobs are version-controlled and production deployment is automated via Git and Terraform.</li>
</ul></li><li>Governance &amp; Monitoring</li>
<li><ul><li>Implementing source system connectivity into CDP in collaboration with source system owners.</li>
<li>Ensuring jobs comply with data contracts and are properly monitored.</li>
<li>Preparing documentation and handover to operational support teams.</li>
</ul></li><li>Collaboration</li>
<li><ul><li>Working closely with Data Architect for ingestion patterns and standards.</li>
<li>Coordinating with Data Assurance Lead to apply quality checks across all jobs.</li>
<li>Partnering with platform engineers for tooling and optimisation.</li>
</ul></li>
</ul>Requirements
You will have experience in:<ul><li>
AWS Glue, PySpark, and ETL pipeline development;</li></ul><ul>
<li>substantial knowledge of Lakehouse architecture and Medallion design principles;</li>
<li>familiarity with CDC, delta loads, and historical data ingestion strategies; and;</li>
<li>5+ years experience in data engineering roles, with hands-on experience in AWS Glue.</li>
</ul>
You should also have knowledge of:<ul>
<li>
AWS services: Glue, S3, Athena, Lambda;</li>
<li>Git, Terraform for CI/CD automation;</li>
<li>data quality frameworks (e.g., Soda Core);</li>
<li>identifying ways to automate their work / repetitive tasks;</li>
<li>working in a fast-paced environment and deliver aggressive migration targets;</li>
<li>collaborating and communication with different stakeholder levels; and;</li>
<li>working with Jira and agile way of working.</li>
</ul>
As an AI consultancy, our greatest asset is the expertise of our people.
While technical mastery is the foundation of what we do, the ability to bridge the gap between complex data science and actionable business value is what defines your success with Deeplight.
We're looking for individuals who are not only world-class in their fields of specialism, but also compelling communicators and persuasive advocates for their own skills.
You will be the face of our firm, tasked with building trust, articulating the &quot;why&quot; behind your technical decisions, and effectively &quot;selling&quot; your vision to high-level stakeholders.
If you thrive on the challenge of presenting cutting-edge solutions as much as you do on building them, you will fit right in.
Benefits
Benefits &amp; Growth Opportunities:<ul><li>Competitive salary and performance bonuses</li><li>Comprehensive health insurance</li><li>Professional development and certification support</li><li>Opportunity to work on cutting-edge AI projects</li><li>Flexible working arrangements</li><li>Career advancement opportunities in a rapidly growing AI company</li></ul>
This position offers a unique opportunity to shape the future of AI implementation while working with a talented team of professionals at the forefront of technological innovation. The successful candidate will play a crucial role in driving our company's success in delivering transformative AI solutions to our clients.
At DeepLight AI, we recognise that diversity drives innovation. We are committed to fostering an inclusive environment where individuals with different thinking styles can thrive and contribute their unique strengths to our specialised AI and data solutions.
Our goal is to ensure our application and interview process is accessible, predictable, and fair for all candidates.
If you require any specific adjustments to the application process, or if you require any reasonable adjustments should you be successful in being processed to the interview stage, please do let us know. This information will be kept strictly confidential and will not impact hiring decisions.</div>

AWS Glue Data Engineer

<div>Job Title: Senior AWS Cloud IT Support Engineer 
Location: Dubai, UAE (Onsite) 
Experience: 5+ Years 
Employment Type: Full-Time
Position Overview: 
We are seeking a skilled Senior AWS Cloud IT Support Engineer to provide advanced technical support and manage AWS cloud infrastructure. The ideal candidate will troubleshoot complex issues, optimize cloud resources, and ensure seamless IT operations across the organization. This onsite role in Dubai requires hands-on expertise in AWS services, cloud architecture, and IT support best practices.
Key Responsibilities:<ul><li>
Provide advanced technical support for AWS cloud infrastructure and related IT systems.</li><li>
Monitor, maintain, and optimize AWS services such as EC2, S3, Lambda, RDS, CloudWatch, IAM, and VPC.</li><li>
Deploy, configure, and manage cloud resources and applications.</li><li>
Manage user accounts, permissions, and access control in AWS and enterprise systems.</li><li>
Implement and maintain security best practices in cloud and IT environments.</li><li>
Troubleshoot complex networking, server, and application issues.</li><li>
Document support procedures, incidents, and solutions.</li><li>
Collaborate with internal teams to design and implement IT solutions.</li><li>
Support backup, disaster recovery, and system maintenance procedures.</li></ul>
Required Skills &amp; Technologies:<ul><li>
AWS Services: EC2, S3, Lambda, RDS, CloudWatch, IAM, VPC, CloudFormation.</li><li>
Networking: DNS, VPN, TCP/IP, Firewall configuration, Load Balancers.</li><li>
Operating Systems: Windows Server, Linux/Unix.</li><li>
Monitoring &amp; Troubleshooting: CloudWatch, CloudTrail, AWS Config.</li><li>
IT Support: Incident management, problem resolution, ticketing tools (ServiceNow/Jira).</li><li>
Scripting/Automation: Python, Bash, or PowerShell.</li><li>
Security: IAM, Key Management Service (KMS), Security Groups, compliance standards.</li></ul>
Qualifications:<ul><li>
Bachelor&rsquo;s degree in Computer Science, Information Technology, or related field.</li><li>
Minimum 5 years of experience in IT support with extensive AWS exposure.</li><li>
Strong understanding of cloud computing concepts and AWS architecture.</li><li>
Excellent problem-solving and communication skills.</li><li>
Ability to work independently and as part of a team.</li></ul>
Preferred:<ul><li>
AWS Certified Solutions Architect &ndash; Associate or AWS Certified SysOps Administrator.</li><li>
Experience with ITSM tools like ServiceNow or Jira Service Desk.</li></ul>
EdvcwSdTFH</div>

Senior AWS Cloud IT Support Engineer

Ghassan Aboud Holding

<div>
 
 We are currently seeking
 
 Cloud Infrastructure Engineer
 
 for our Group&rsquo;s Digital &amp; Technology department in Dubai.
 
 
 
 
 
 
 About Ghassan Aboud Holdings:
 
 
 
 Ghassan Aboud Holdings is an international conglomerate engaged in several key business sectors including Automotive, Retail, FMCG, Hospitality, Logistics, Healthcare, and Digital Marketplaces.
 
 
 
 
 
 
 Purpose of the Job
 
 
 
 The L3 Cloud Infrastructure Engineer provides advanced support, architecture guidance, and operational excellence across cloud platforms&mdash;primarily Microsoft Azure &amp; AWS. The role owns complex escalations, drives automation and reliability, ensures security and compliance, and delivers scalable cloud services aligned to business outcomes, SLAs, and cost efficiency.
 
 
 
 
 
 
 Key Responsibilities:
 
 
 
 Cloud Architecture &amp; Platform Engineering
 
 <ul>
 <li>
 Design, implement, and optimize Azure landing zones, hub-spoke networking, management groups, and policy-based governance (Azure Policy, Blueprints).
 </li>
 <li>
 Build secure, scalable foundations for AKS, App Services, Azure Functions, Azure SQL/Managed Instance, Storage, AVD, and PaaS services.
 </li>
 <li>
 Partner with Enterprise Architecture to produce HLD/LLD and technical roadmaps (modernization, containerization, data platform evolution).
 </li>
 </ul>
 
 Operations, Reliability &amp; Incident Management
 
 <ul>
 <li>
 Own L3 incident/problem management for cloud workloads; perform RCA and permanent fixes; contribute to SRE-style error budgets and SLIs/SLOs.
 </li>
 <li>
 Lead performance tuning, capacity planning, patching pipelines, break-fix, and complex change requests.
 </li>
 <li>
 Participate in on-call rotation and major incident handling, collaborating with the Incident Coordinator and IRT
 </li>
 </ul>
 
 Security, Compliance &amp; Governance
 
 <ul>
 <li>
 Implement and maintain Zero Trust principles, MFA/Conditional Access, Privileged Identity Management (PIM), and least privilege in Azure AD/Microsoft Entra ID.
 </li>
 <li>
 Enforce and remediate using Defender for Cloud, Sentinel, Key Vault, Managed Identities, Policies/Initiatives, and secure baselines.
 </li>
 <li>
 Align operations to NIST CSF (Identify&ndash;Protect&ndash;Detect&ndash;Respond&ndash;Recover) and support audits, evidence collection, vulnerability remediation, and CIS benchmarks
 </li>
 <li>
 Engineer and support Azure networking (VNets, vWAN, Private Link/Endpoints, Application Gateway/WAF, Front Door, Azure Firewall, NSGs/ASGs).
 </li>
 <li>
 Maintain hybrid connectivity (ExpressRoute/VPN), private DNS, routing, load balancing, and end-to-end TLS.
 </li>
 <li>
 Design and test BCP/DR for cloud workloads (Azure Site Recovery, Backup vaults, zone/region redundancy, RTO/RPO adherence).
 </li>
 <li>
 Implement immutable backups, key rotation, and secure secrets handling.
 </li>
 </ul>
 
 Observability &amp; Telemetry
 
 <ul>
 <li>
 Build actionable monitoring using Azure Monitor, Log Analytics, Application Insights, and custom dashboards/alerts.
 </li>
 <li>
 Establish runbooks for proactive detection, trend analysis, and capacity forecasting.
 </li>
 </ul>
 
 Collaboration &amp; Knowledge
 
 <ul>
 <li>
 Provide L3 mentorship to L1/L2; contribute to KBs, SOPs, runbooks, and game days.
 </li>
 <li>
 Work closely with Security, Networking, Apps, and Data teams to ensure end-to-end service quality.
 </li>
 </ul>
 
 
 
 
 
 Required Experience &amp; Qualifications
 
 
 
 
 
 
 Bachelor&rsquo;s in computer science/engineering or equivalent experience.
 
 
 
 
 
 Certification:
 
 
 Microsoft: Azure Administrator Associate (AZ 104), Azure Solutions Architect Expert (AZ 305), Azure Security Engineer (AZ 500).
 
 
 ITIL Foundation.
 
 
 AWS SysOps /Admin certifications are a plus.
 
 
 
 
 
 At least 6-7 Years Experience as an IT L2/L3 engineer, 5+ years in Infrastructure/Cloud roles with 3+ years focused on Azure engineering/operations.
 
 
 Proven track record managing production-grade cloud platforms in regulated or security-conscious environments.
 
 
 
 
 
 Interested candidates are requested to share their updated resume.
 
 
 
 
 
 We thank all applicants for their interest. However, only those qualified individuals who closely meet the qualifications of the position will be contacted. The details of the position are only a summary; other duties may be assigned as necessary.
 
 
</div>

Cloud Engineer

<div>Job Title: Data Architect &ndash; AWS, Data Migration &amp; Lakehouse 
Location: Dubai, UAE (100% Onsite) 
Experience Required: 14&ndash;16+ Years 
Employment Type: Full-Time
Job Summary 
We are seeking a highly experienced Data Architect with 14&ndash;16+ years of expertise to design, build, and govern enterprise-scale AWS data platforms. The ideal candidate will have strong hands-on architectural experience across AWS data services, batch and event-driven processing frameworks, orchestration, and data governance. You will lead data architecture strategy, mentor engineering teams, and ensure scalable, secure, and high-performing data solutions. 
 
Note: This role is onsite in Dubai, UAE, and candidates currently outside the UAE must be willing to relocate.
Key Responsibilities<ul><li>
Design and own end-to-end AWS data architecture for enterprise platforms</li><li>
Define data architecture standards, best practices, and reference models</li><li>
Architect batch and event-driven data pipelines using AWS native services</li><li>
Lead data ingestion, transformation, and orchestration workflows</li><li>
Design and implement solutions using AWS Glue, EMR, Lambda, and MWAA (Airflow)</li><li>
Architect data lakes and data warehouses using Amazon S3 and Amazon Redshift</li><li>
Design NoSQL data solutions using Amazon DynamoDB</li><li>
Implement data governance, metadata management, and access control using AWS DataZone</li><li>
Ensure monitoring, logging, and observability using Amazon CloudWatch</li><li>
Partner with engineering, analytics, and business teams to translate requirements into scalable data solutions</li><li>
Lead cloud migration and data modernization initiatives</li><li>
Ensure security, compliance, performance optimization, and cost efficiency</li><li>
Provide technical leadership, mentorship, and architecture reviews</li></ul>
Required Skills and Technologies<ul><li>
AWS Glue (ETL, Data Catalog)</li><li>
Amazon EMR (Batch Processing)</li><li>
AWS Lambda (Serverless Data Processing)</li><li>
Amazon MWAA (Apache Airflow)</li><li>
Amazon EC2</li><li>
Amazon CloudWatch</li><li>
Amazon Redshift</li><li>
Amazon DynamoDB</li><li>
AWS DataZone</li><li>
Amazon S3 (Data Lakes)</li><li>
SQL (Advanced)</li><li>
Data Modeling (Dimensional, Relational, Lakehouse)</li><li>
AWS IAM, Security, Encryption, Networking</li><li>
Distributed Data Processing</li></ul>
Experience and Qualifications<ul><li>
14&ndash;16+ years of experience in Data Engineering and Data Architecture</li><li>
Proven experience working as a Data Architect on large-scale AWS platforms</li><li>
Strong experience designing enterprise data lakes and data warehouses</li><li>
Hands-on experience with batch data processing and orchestration frameworks</li><li>
Excellent communication and stakeholder management skills</li><li>
Ability and willingness to work onsite in Dubai, UAE (relocation required if outside UAE)</li></ul>
Preferred Qualifications<ul><li>
AWS Certified Solutions Architect &ndash; Professional</li><li>
AWS Certified Data Analytics &ndash; Specialty</li><li>
Experience with enterprise data governance frameworks</li></ul>
JI7gwEvrHw</div>

Data Architect – AWS, Data Migration & Lakehouse

<div>Job Title: Senior Data Architect &ndash; AWS 
Location: Dubai, UAE (Onsite) 
Experience Required: 12+ Years 
Employment Type: Full-Time 
Work Mode: Onsite<h3 class="jobSectionHeader">
Job Summary</h3>
We are seeking a highly experienced Senior Data Architect with 12+ years of experience to design, build, and govern enterprise-scale AWS data platforms. The role is fully onsite in Dubai and requires strong hands-on architectural expertise across AWS data services, batch processing frameworks, orchestration, and data governance. The ideal candidate will lead data architecture strategy, mentor engineering teams, and ensure scalable, secure, and high-performing data solutions.<h3 class="jobSectionHeader">
Key Responsibilities</h3><ul><li>
Design and own end-to-end AWS data architecture for enterprise platforms</li><li>
Define data architecture standards, best practices, and reference models</li><li>
Architect batch and event-driven data pipelines using AWS native services</li><li>
Lead data ingestion, transformation, and orchestration workflows</li><li>
Design and implement solutions using AWS Glue, EMR, Lambda, and MWAA (Airflow)</li><li>
Architect data lakes and data warehouses using Amazon S3 and Amazon Redshift</li><li>
Design NoSQL data solutions using Amazon DynamoDB</li><li>
Implement data governance, metadata management, and access control using AWS DataZone</li><li>
Ensure monitoring, logging, and observability using Amazon CloudWatch</li><li>
Partner with engineering, analytics, and business teams to translate requirements into scalable data solutions</li><li>
Lead cloud migration and data modernization initiatives</li><li>
Ensure security, compliance, performance optimization, and cost efficiency</li><li>
Provide technical leadership, mentorship, and architecture reviews</li></ul><h3 class="jobSectionHeader">
Required Skills and Technologies</h3><ul><li>
AWS Glue (ETL, Data Catalog)</li><li>
Amazon EMR (Batch Processing)</li><li>
AWS Lambda (Serverless Data Processing)</li><li>
Amazon MWAA (Apache Airflow)</li><li>
Amazon EC2</li><li>
Amazon CloudWatch</li><li>
Amazon Redshift</li><li>
Amazon DynamoDB</li><li>
AWS DataZone</li><li>
Amazon S3 (Data Lakes)</li><li>
SQL (Advanced)</li><li>
Data Modeling (Dimensional, Relational, Lakehouse)</li><li>
AWS IAM, Security, Encryption, Networking</li><li>
Distributed Data Processing</li></ul><h3 class="jobSectionHeader">
Experience and Qualifications</h3><ul><li>
12+ years of experience in Data Engineering and Data Architecture</li><li>
Proven experience working as a Data Architect on large-scale AWS platforms</li><li>
Strong experience designing enterprise data lakes and data warehouses</li><li>
Hands-on experience with batch data processing and orchestration frameworks</li><li>
Excellent communication and stakeholder management skills</li><li>
Ability to work onsite in Dubai, UAE</li></ul><h3 class="jobSectionHeader">
Preferred Qualifications</h3><ul><li>
AWS Certified Solutions Architect &ndash; Professional</li><li>
AWS Certified Data Analytics &ndash; Specialty</li><li>
Experience with enterprise data governance frameworks</li></ul>
ftAfhzaCsi</div>

Senior Data Architect (AWS Data Platforms)

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