DATA ENTRY - LOGISTICS ASSISTANT

We are looking for a Document Controller to prepare, manage and file documents for our projects. Responsibilities Copy, scan and store documents Check for accuracy and edit files, like contracts Review and update technical documents (e.g. manuals and workflows) Distribute project-related copies to internal teams File documents in physical and digital records Create templates for future use Retrieve files as requested by employees and clients Manage the flow of documentation within the organization. Send CV to WhatsApp : ,0504496707

Location: Onsite (Work from Office is mandatory all days) Experience: Minimum 6 years Industry: Preferably Banking or Large Organizations Role Overview: The Oracle DBA + Automation Engineer will be responsible for supporting technology projects by managing Oracle databases and automating routine DBA tasks using modern DevOps tools. The ideal candidate should be highly proficient in Oracle database administration and comfortable working in high-pressure environments across multiple projects. Out-of-hours and weekend availability may occasionally be required. Key Responsibilities: Administer and support Oracle databases in production and non-production environments. Design and implement Oracle Real Application Clusters (RAC) and Dataguard. Perform Oracle database patching, backup & recovery using RMAN. Monitor, optimize, and tune performance of Oracle databases. Manage and automate database tasks using Ansible, Jenkins, Terraform, and Groovy. Migrate databases between environments including on-premise to Oracle Cloud Infrastructure (OCI) and AWS. Utilize Oracle Enterprise Manager (OEM) for comprehensive database monitoring. Contribute to automation initiatives, reducing manual efforts in DBA operations. Work in Agile teams and deliver in iterative development models. Required Qualifications: Education: Bachelor’s degree or higher in Computer Science – Essential Relevant industry certifications – Desirable Experience: 6+ years in Oracle database administration within large organizations – Essential Previous experience in banking or financial services – Desirable Technical Skills – Must Have: Oracle DBA (Administration, Backup/Recovery, Patching) Oracle RAC & Dataguard Oracle Cloud Infrastructure (OCI) and AWS Oracle Enterprise Manager (OEM) RMAN (Recovery Manager) SQL and PL/SQL Unix/Linux OS Agile methodology Ansible and Git Bash or Python scripting Technical Skills – Good to Have: Jenkins and Groovy scripting Terraform Other databases (e.g., MySQL, PostgreSQL, etc.) Behavioural Competencies: Ability to work effectively under pressure Strong professional and communication skills Ability to self-manage tasks and time Comfort with managing multiple concurrent projects

We are looking for a skilled Typist/Data Entry Executive with experience in handling UAE government transactions and document clearance. The ideal candidate must be accurate, detail-oriented, and able to manage official paperwork efficiently.

Machine Learning Operations (ML/Ops) Engineer - Team Lead Location / Work Setup: Remote About Us: We are a dynamic and innovative team currently engaged in an exciting Request for Quote (RFQ) process for a client based in Hong Kong. We are on the lookout for a skilled Machine Learning Operations Engineer, particularly someone experienced in deploying Machine Learning models into pipelines. This is a fantastic opportunity to be part of a high-impact project where your contributions will shape the future capabilities of our client's ML infrastructure. Key Responsibilities: Lead a team of ML/Ops engineers in deploying and managing Machine Learning models. Build and enhance capabilities to seamlessly integrate ML models into existing pipelines. Collaborate with cross-functional teams to understand project requirements and ensure successful deployment. Provide ongoing support to accommodate surges in requirements, focusing on scalability and efficiency. Utilize Python for scripting and automation tasks. Work with Cloud platforms, particularly Azure and GCP to optimize machine learning workflows. Requirements For Team Lead Position: At least 3 years of experience in ML/Ops or a related field. Proven leadership skills with the ability to guide and inspire a team. Excellent communication skills to effectively liaise with clients and internal teams. For ML/Ops Engineer Position: Strong experience in deploying Machine Learning models. Proficiency in Python for scripting and automation. Hands-on experience with Cloud platforms, particularly Azure and GCP. Prior experience in addressing scalability and pricing concerns in ML operations. How to Apply: If you are a passionate ML/Ops professional ready to take on a leadership role or contribute your expertise to a cutting-edge project, we want to hear from you. Please submit your resume, highlighting your relevant experience, and a cover letter detailing your approach to scalability and pricing in ML operations. Note: This is a unique opportunity to make a significant impact on a client's ML capabilities, and we are excited to welcome individuals who share our enthusiasm for innovation and excellence.

We are looking for a focused data entry clerk to continuously update our company's databases. The data entry clerk will liaise with and follow up with employees within the company as well as with customers to collect information. Data Entry Clerk Responsibilities: Gathering invoices, statements, reports, personal details, documents and information from employees, other departments and clients. Scanning through information to identify pertinent information. Correcting errors and organizing the information in a manner that will optimize swift and accurate capturing. Creating accurate spreadsheets. Entering and updating information into relevant databases. Ensuring data is backed up. Send CV to WhatsApp : 0504309181

We are looking for a Senior Technology Engineer to join the our client which is a leading UAE bank. The selected candidate will be responsible for building and maintaining a robust, scalable, and secure Data Science Platform, enabling high-performance data workloads and supporting enterprise-grade analytics and AI use cases. You will work in an Agile + DevOps environment, collaborating with cross-functional squads to implement automation-first, cloud-native, and containerized infrastructure solutions. Key Responsibilities: Platform Engineering & Automation Hands-on Tier-2 production experience with Cloudera platform including installation, upgrade, and maintenance Optimize performance of Spark jobs in collaboration with Data Engineering teams Design and implement CI/CD pipelines for data and analytics projects using tools such as GitHub Actions, Jenkins, or ArgoCD Develop automated workflows using scripting languages (Python, Shell, Groovy) Automate security and compliance checks as per regulatory standards Implement observability tools and performance monitoring practices Infrastructure & Containerization Build and manage containerized environments using Docker or Podman Deploy and manage Kubernetes/OpenShift-based solutions Perform automated patching and lifecycle management of platform components Ensure high availability, scalability, and fault tolerance of the infrastructure DevOps & Agile Delivery Work closely with product squads and stakeholders to translate requirements into deliverable engineering solutions Contribute to backlog grooming, sprint planning, and DevOps cycles Drive platform enhancements from design to delivery in alignment with architectural and security standards Deliver robust, production-ready solutions that minimize operational overhead Collaboration & Stakeholder Engagement: Act as a technology evangelist and collaborate with teams from Security, Architecture, Agile, and Data Chapters Facilitate platform adoption and onboarding of new use cases and data teams Promote reusability, standardization, and simplification across the platform Represent the platform in relevant forums and design reviews Required Skills & Experience: Technical Expertise: Minimum 8+ years of relevant experience in technology engineering roles Minimum 4 years of hands-on Hadoop production experience (preferably with Cloudera) Strong expertise in: Cloudera (installation, maintenance, tuning) CI/CD tools: GitHub Actions, Jenkins, ArgoCD Scripting: Python, Shell, Groovy Linux OS, basic networking, Git Ansible or similar automation frameworks Docker, Podman, Kubernetes, OpenShift Platform observability and monitoring practices Nice to Have: Experience with Data Science platforms/products Public cloud experience (AWS, Azure, or GCP) Experience in the banking or financial services domain Behavioral Competencies: Self-starter with high initiative and ownership Collaborative and able to build trust-based relationships Calm and solution-oriented under pressure Analytical thinker with strong problem-solving skills Passionate about technology, innovation, and continuous improvement Educational Qualifications: Bachelor’s or Master’s degree in Computer Science, Information Technology, or related field Equivalent work experience will also be considered Why Join? Be part of a digital transformation journey for a top-tier bank Work in a fast-paced Agile + DevOps environment Contribute to large-scale data and AI-driven initiatives Opportunity to work with the latest tech stack in Data Engineering & Analytics