




Summary: Seeking an experienced Senior Big Data Engineer to design, build, and optimize large-scale data systems, ensuring scalability, reliability, and performance. Highlights: 1. Lead high-impact big data initiatives with regional and international exposure 2. Opportunities for professional growth and career advancement 3. Collaborative, innovative, and data-driven work culture Job Opportunity: Senior Big Data Engineer **Location:** Kuwait City, Kuwait **Company:** SAS Mexico (Kuwait Data Center) About Us SAS Mexico is a global leader in advanced analytics and data\-driven solutions. With our Kuwait Data Center, we deliver cutting\-edge big data platforms and services to empower organizations with actionable insights. To strengthen our data engineering team in Kuwait City, we are seeking an experienced **Senior Big Data Engineer** to design, build, and optimize large\-scale data systems. Role Overview The **Senior Big Data Engineer** will be responsible for architecting and managing big data pipelines, ensuring scalability, reliability, and performance. This role requires deep technical expertise, strong problem\-solving skills, and the ability to collaborate with data scientists, analysts, and business stakeholders. Key Responsibilities * Design and implement scalable big data architectures and pipelines. * Manage data ingestion, transformation, and storage across distributed systems. * Collaborate with data science and analytics teams to deliver high\-quality datasets. * Optimize performance of big data platforms (Hadoop, Spark, Kafka, etc.). * Ensure compliance with data governance, security, and privacy standards. * Monitor system performance and recommend improvements. * Lead integration of cloud\-based big data solutions (AWS, Azure, GCP). * Mentor junior engineers and promote best practices in data engineering. Qualifications * Bachelor’s or Master’s degree in Computer Science, Data Engineering, or related field. * 7\+ years of experience in big data engineering, with at least 3 years in a senior role. * Strong knowledge of Hadoop ecosystem, Apache Spark, Kafka, and NoSQL databases. * Proficiency in programming languages (Python, Java, Scala). * Experience with cloud platforms and containerization (Docker, Kubernetes). * Familiarity with data governance, ETL processes, and real\-time analytics. * Excellent analytical, organizational, and communication skills. * Ability to manage multiple priorities in a dynamic environment. * Fluency in English; Arabic is a strong advantage. Why Join Us? * Be part of a respected global analytics provider expanding in Kuwait. * Lead high\-impact big data initiatives with regional and international exposure. * Competitive salary and benefits package. * Opportunities for professional growth and career advancement. * Collaborative, innovative, and data\-driven work culture. Pay: Up to KD2,700\.000 per month Work Location: In person


