Data Entry Document Controller

Job title: Computer operation 1) Have more than 1 year of experience in computer e-commerce platform operation and sales, Amazon and Middle East online e-commerce platform sales channels, can operate computer systems, fluent in English, UAE driver's license is preferred. Mobile : 056-3899900

Do you want to love what you do at work? Do you want to make a difference, an impact, and transform peoples lives? Do you want to work with a team that believes in disrupting the normal, boring, and average? If yes, then this is the job you are looking for , webook.com is Saudi’s #1 event ticketing and experience booking platform in terms of technology, features, agility, revenue serving some of the largest mega events in the Kingdom surpassing over 2 billion in sales.  webook.com is part of the Supertech Group also consisting of UXBERT Labs, one of the best digital and user experience design agencies in the GCC, along with Kafu Games, the largest esports tournament platform in MENA.  Key Responsibilities: Data Integration and ETL Development Architect and implement robust data integration pipelines to extract, transform, and load data from various sources (e.g., databases, SaaS applications, APIs, and flat files) into a centralized data platform. Design and develop complex ETL (Extract, Transform, Load) processes to ensure data quality, consistency, and reliability. Optimize data transformation workflows to improve performance and scalability. Data Infrastructure and Platform Management: Implement and maintain data ingestion, processing, and storage solutions to support the organization's data and analytics requirements. Ensure the reliability, security, and availability of the data infrastructure through effective monitoring, troubleshooting, and disaster recovery planning. Data Governance and Metadata Management: Collaborate with the data governance team to establish data policies, standards, and procedures. Develop and maintain a comprehensive metadata management system to ensure data lineage, provenance, and traceability. Implement data quality control measures and data validation processes to ensure the integrity and reliability of the data. Requirements 5-6 years of experience as a Data Engineer or a related role in a data-driven organization. Proficient in designing and implementing data integration and ETL pipelines using tools such as Apache Airflow, airbyte, or any cloud-based data integration services. Strong experience in setting up and managing data infrastructure, including data lakes, data warehouses, and real-time streaming platforms (e.g. Elastic , Google Bigquery, Mongodb). Expertise in data modeling, data quality management, and metadata management. Proficient in programming languages such as Python, or Java, and experience with SQL. Familiarity with cloud computing platforms (e.g., AWS,Google Cloud) and DevOps practices. Excellent problem-solving skills and the ability to work collaboratively with cross-functional teams. Strong communication and presentation skills to effectively translate technical concepts to business stakeholders. Preferred Qualifications: Familiarity with data visualization and business intelligence tools (e.g., Tableau, qlik.etc). Knowledge of machine learning and artificial intelligence concepts and their application in data-driven initiatives. Project management experience and the ability to lead data integration and infrastructure initiatives. If you are a seasoned Data Engineer with a passion for building scalable and robust data integration solutions, we encourage you to apply for this exciting opportunity

Job Responsibilities: Lay bricks, blocks, and stones to construct or repair walls, floors, and structures. Mix and apply mortar, cement, plaster, or concrete. Interpret construction drawings and measurements. Ensure accuracy, durability, and finish of masonry work. Maintain tools and follow safety procedures on site. -Minimum 2 years experience needed -Indian/ Nepali nationalities Accommodation, medical, Visa provided by company Duty: 9 Hours/ Day, 6 days/ week To apply: Send your CV to: graceshi@ok.com, and please mention reference as Emirates Career

We are hiring a Data Entry worker to help with typing and entering information into the computer. No advanced experience needed. Basic computer skills are enough. Job Duties: Type and enter data into the system Check and update records Keep files organized Help with simple office tasks Requirements: Basic computer and typing skills Attention to detail Can follow instructions Responsible and organized How to Apply: Interested applicants, please send your CV by WhatsApp to: +971 525836622

About DeepLight: DeepLight is a pioneering AI company committed to pushing the boundaries of innovation in artificial intelligence. Our mission is to harness the power of data and machine learning to revolutionize industries and create a brighter future. With a dynamic team of experts and a culture of relentless innovation, we are at the forefront of AI research and development. Position Overview: DeepLight is seeking an exceptional Data Engineer to join our team of AI specialists in the UAE. As an Expert Data Engineer, you will be responsible for designing, implementing, and optimizing data pipelines and infrastructure to support our cutting-edge AI systems. You will collaborate closely with our multidisciplinary team to ensure the efficient collection, storage, processing, and analysis of large-scale data, enabling us to unlock valuable insights and drive innovation across various domains. Requirements · Pipeline Development: Design, develop, and maintain scalable and reliable data pipelines to ingest, transform, and load diverse datasets from various sources, including structured and unstructured data, streaming data, and real-time feeds, with consideration for downstream AI/ML workloads. · Data Integration: Implement robust data integration processes to seamlessly integrate data from different sources, ensuring consistency, reliability, and data quality for analytics and AI use cases. · Data Storage: Design and optimize data storage solutions, including relational databases, NoSQL databases, data lakes, and cloud storage services, to efficiently store and manage large volumes of data for AI and machine learning model consumption. · Performance Optimization: Optimize data processing and query performance to enhance system scalability, reliability, and efficiency, leveraging techniques such as indexing, partitioning, caching, and parallel processing—especially for AI model training and inference pipelines. · Data Governance: Implement data governance frameworks to ensure data security, privacy, integrity, and compliance with regulatory requirements, including data encryption, access controls, and auditing—crucial for responsible AI deployment. · Monitoring and Maintenance: Monitor data pipelines and infrastructure components, proactively identify and address issues, and perform routine maintenance tasks to ensure system stability and reliability across AI and data science environments. · Collaboration: Collaborate closely with cross-functional teams, including data scientists, ML engineers, architects, and domain experts, to understand AI/ML requirements, gather insights, and deliver integrated, production-ready data solutions. · Documentation: Create comprehensive documentation, including technical specifications, data flow diagrams, and operational procedures, to facilitate understanding, collaboration, and knowledge sharing across AI and analytics teams. · Proven experience as a Data Engineer, with a track record of designing and implementing complex data pipelines and infrastructure solutions that support advanced analytics and AI initiatives. · Expertise in data modeling, ETL (Extract, Transform, Load) processes, and data warehousing concepts, with proficiency in SQL and scripting languages (e.g., Python, Scala)—especially in AI pipeline preparation and feature engineering. · Strong hands-on experience with big data technologies and frameworks, such as Hadoop, Spark, Kafka, and Flink, as well as cloud platforms (e.g., AWS, Azure, GCP) commonly used for AI workloads. · Familiarity with containerization and orchestration technologies, such as Docker and Kubernetes, and DevOps practices for CI/CD (Continuous Integration/Continuous Deployment), including ML model deployment and data pipeline automation. · Experience supporting AI/ML initiatives, including the preparation of training datasets, model input/output data flows, MLOps integration, and experimentation tracking. · Excellent analytical, problem-solving, and communication skills, with the ability to translate complex technical concepts into clear and actionable insights. · Proven ability to work effectively in a fast-paced, collaborative environment, with a passion for innovation, continuous learning, and contributing to AI-driven solutions. Benefits Why Join DeepLight? ·   Impact: Be part of a dynamic team that is shaping the future of AI and making a meaningful impact on industries and society. ·   Innovation: Work on cutting-edge projects at the intersection of AI, data engineering, and machine learning, leveraging the latest technologies and methodologies. ·   Collaboration: Collaborate with a diverse team of experts from various disciplines, fostering creativity, learning, and growth. ·   Opportunity: Enjoy ample opportunities for professional development, career advancement, and leadership roles in a rapidly growing company. ·   Culture: Join a culture of curiosity, excellence, and collaboration, where your ideas are valued, and your contributions are recognized and rewarded.   If you are passionate about data engineering, AI, and innovation, and you thrive in a dynamic and collaborative environment, we want to hear from you! Apply now to join DeepLight and be part of our journey to unlock the potential of AI for a brighter future.

Job Responsibilities: Build and dismantle formwork (shuttering) for concrete casting. Measure, cut, and assemble wood or metal formwork according to plans. Ensure formwork is level, aligned, and structurally safe. Repair and maintain shuttering materials for reuse. Work closely with masons and steel fixers during construction. -Minimum 2 years experience needed -Indian/ Nepali nationalities Accommodation, medical, Visa provided by company Duty: 9 Hours/ Day, 6 days/ week To apply: Send your CV to: graceshi@ok.com, and please mention reference as Emirates Career