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Dubai, Dubai, United Arab Emirates G42 Full timeQualificationsSkillsand attributes for successBachelor's degree inComputer Science, Engineering, Mathematics, or a related field; orequivalent work experience.3+ years ofexperience in a Data Engineeringrole.Proficiency in SQL and programminglanguages like Python, Java, andScala.Hands-on experience with big datatechnologies like Hadoop, Spark...
Data Engineering Lead
2 weeks ago
- Guide 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 Successful
- Practical 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 Role
- Bachelor'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.