Home UAE Data Engineering Lead - Corporate Services

Home UAE Data Engineering Lead - Corporate Services

Data Engineering Lead - Corporate Services

Full time at a Laimoon Verified Company in UAE
Posted on November 5, 2024

Job details

ResponsibilitiesGuide and develop a high-performing Data Engineering team, fostering a culture of innovation, efficiency, and collaboration.Apply your deep expertise in Azure Data Platform and other Data Engineering tools to refine and expand our data capabilities.Lead the end-to-end process of designing, documenting, developing, implementing, and testing innovative prototypes that showcase the value of data.Oversee the development and integration of Web Apps, Function Apps, and custom user interfaces, ensuring robust data modelling, quality, governance, and security practices.Serve as the primary contact for all Data Engineering inquiries.Required Skills To Be SuccessfulPractical experience in constructing and refining Big Data pipelines, architectures, and datasets, optimizing for efficiency and scalability.Strong analytical skills, expertise with DevOps for deploying data pipelines.Knowledge of Data Virtualization Tools (Denodo), Auto ML Tools (DataRobot, Dataiku), Marketing Tools (Salesforce, etc.), SAP (BW/BO/ERP).Expertise in Azure Data Factory, Databricks, Event Hubs, Python, PySpark, SQL & No-SQL Databases, and other pivotal Big Data solutions, ensuring robust, scalable data infrastructure.What Equips You For The RoleBachelor's degree in computer science or a related field of study.15+ years of IT experience in implementing complex business/transformation projects across various domains and managing internal and external teams.Minimum 8+ years of practical experience building and managing data pipelines with multiple source system integrations.Minimum 4+ years of dedicated experience in the design, development, and management of web-based data management portals and tools.Minimum 3+ years of experience in building and managing real-time event streaming solutions using Kafka.Minimum 2+ years of experience in integrating Recommendation Engine or Segmentations with customer touchpoints/channels.

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