Requirements: Gather and analyze business and technical requirements. Perform Exploratory Data Analysis (EDA) to assess data quality and suitability. Load, process, and transform large-scale datasets. Design and implement high-performance, secure, and scalable data processing pipelines. Apply feature engineering techniques to support machine learning models. Optimize Spark jobs and distributed data processing. Collaborate closely with Analytics Delivery Leads, Data Scientists, and cross-functional teams in an Agile environment. Effectively communicate with stakeholders to ensure alignment and successful project delivery. Fluent English is mandatory. Over 6 years of relevant experience in Data Engineering and ML pipeline development. Python, Apache Spark, Hadoop ecosystem, SQL, Git, Big Data architectures and distributed systems, Agile/Scrum.

Location: 📍Office, Dubai. Full-time.

Contact for application: recruiter contact +CV