Data Engineer - Intern

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 Description: We are seeking a skilled and dedicated Technical Engineer to join our team. The ideal candidate will have a solid understanding of cybersecurity principles and experience in device and software protection. You will be responsible for maintaining and improving the security and functionality of our systems, ensuring optimal performance and safety. Key Responsibilities: • Implement and manage cybersecurity measures for devices and software systems. • Protect devices from unauthorized access and security threats. • Develop and maintain software protection protocols to safeguard applications. • Manage and troubleshoot antivirus solutions to ensure system integrity. • Oversee software rebooting processes to maintain system stability and performance. • Perform regular system updates and reboots to optimize system operations. • Collaborate with IT teams to identify vulnerabilities and implement security enhancements. • Document technical procedures and provide support for troubleshooting security issues. Required Skills & Qualifications: • Knowledge of intermediate cybersecurity concepts and best practices. • Experience in device protection and security management. • Familiarity with software protection techniques and antivirus soft • ware. • Ability to manage software rebooting systems effectively. • Strong problem-solving skills and attention to detail. • Excellent communication and teamwork abilities. • Relevant certifications in cybersecurity or related fields are a plus. •Minimum of 2 years of professional experience working in UAE Preferred Qualifications: • Bachelor’s degree in computer science, Information Technology, or related field. • Prior experience as a Technical Engineer or similar role.

We are hiring on behalf of our client – a newly launched family office – who is seeking an AI Data Engineer with strong AI integration expertise to help operationalize their financial models and data infrastructure. This role focuses on implementing and connecting existing tools—not building models or infrastructure from scratch. You will play a key role in automating workflows, managing data systems, and enabling real-time data access to improve decision-making processes. Key Responsibilities: Upgrade and manage enterprise API accounts across LLM providers (e.g., OpenAI, DeepSeek), with a focus on optimizing usage and cost. Automate orchestration of financial models using existing frameworks and tools (e.g., LangChain, Zapier). Migrate model documentation and data storage from mobile devices to cloud databases with version control. Build workflows to automatically combine multiple financial models (e.g., volatility, fundamental analysis) based on asset types and use cases. Integrate real-time financial data via Retrieval-Augmented Generation (RAG) systems to ensure model accuracy and relevance. Qualifications: Proven experience in data engineering and integrating AI/LLM tools into operational systems. Strong knowledge of API management, automation tools, and cloud infrastructure. Familiarity with LangChain, vector databases, and orchestration platforms is highly desirable. Previous experience working with financial data or supporting quant teams is a strong advantage. Excellent problem-solving skills and a proactive, self-starting attitude.

entring data/information of products into the system (Odoo) from barcode price category etc. changing existing items creating bills lpos and quotations using the system

Job Title: Data Engineer (PySpark) ________________________________________ About the Role We are seeking a highly skilled Data Engineer with deep expertise in PySpark and the Cloudera Data Platform (CDP) to join our data engineering team. As a Data Engineer, you will be responsible for designing, developing, and maintaining scalable data pipelines that ensure high data quality and availability across the organization. This role requires a strong background in big data ecosystems, cloud-native tools, and advanced data processing techniques. The ideal candidate has hands-on experience with data ingestion, transformation, and optimization on the Cloudera Data Platform, along with a proven track record of implementing data engineering best practices. You will work closely with other data engineers to build solutions that drive impactful business insights. Responsibilities Data Pipeline Development: Design, develop, and maintain highly scalable and optimized ETL pipelines using PySpark on the Cloudera Data Platform, ensuring data integrity and accuracy. Data Ingestion: Implement and manage data ingestion processes from a variety of sources (e.g., relational databases, APIs, file systems) to the data lake or data warehouse on CDP. Data Transformation and Processing: Use PySpark to process, cleanse, and transform large datasets into meaningful formats that support analytical needs and business requirements. Performance Optimization: Conduct performance tuning of PySpark code and Cloudera components, optimizing resource utilization and reducing runtime of ETL processes. Data Quality and Validation: Implement data quality checks, monitoring, and validation routines to ensure data accuracy and reliability throughout the pipeline. Automation and Orchestration: Automate data workflows using tools like Apache Oozie, Airflow, or similar orchestration tools within the Cloudera ecosystem. Monitoring and Maintenance: Monitor pipeline performance, troubleshoot issues, and perform routine maintenance on the Cloudera Data Platform and associated data processes. Collaboration: Work closely with other data engineers, analysts, product managers, and other stakeholders to understand data requirements and support various data-driven initiatives. Documentation: Maintain thorough documentation of data engineering processes, code, and pipeline configurations.  Qualifications  Education and Experience Bachelor’s or Master’s degree in Computer Science, Data Engineering, Information Systems, or a related field. 3+ years of experience as a Data Engineer, with a strong focus on PySpark and the Cloudera Data Platform.  Technical Skills PySpark: Advanced proficiency in PySpark, including working with RDDs, DataFrames, and optimization techniques. Cloudera Data Platform: Strong experience with Cloudera Data Platform (CDP) components, including Cloudera Manager, Hive, Impala, HDFS, and HBase. Data Warehousing: Knowledge of data warehousing concepts, ETL best practices, and experience with SQL-based tools (e.g., Hive, Impala). Big Data Technologies: Familiarity with Hadoop, Kafka, and other distributed computing tools. Orchestration and Scheduling: Experience with Apache Oozie, Airflow, or similar orchestration frameworks. Scripting and Automation: Strong scripting skills in Linux.  Soft Skills Strong analytical and problem-solving skills. Excellent verbal and written communication abilities. Ability to work independently and collaboratively in a team environment. Attention to detail and commitment to data quality.

Urgent! Hiring, Send your CV now. Onsite IT Support Engineer Location: Abu Dhabi, UAE Salary: AED 4,500 Join: Immediate or Max 30 Days Driving License: Required (Company Vehicle Provided) --- We Need You If You: Have 3–5 years IT Support experience. Can provide L1 IT, Network & Cybersecurity support. Speak & write fluent English. Hold a valid UAE driving license, company car will be provided for trips. --- What You’ll Do: ✅ Troubleshoot & configure IT systems. ✅ Work with L2/L3 Engineers. ✅ Provide hands-on helpdesk & technical support. --- Schedule: Monday–Friday, 9:00 AM – 6:00 PM with 2 days weekend. --- Apply Now ⚠️ Only immediate joiners or max 30 days notice will be considered.